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Artykuły w czasopismach na temat „Template Image”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Hegdé, Jay, Nicholas J. Tustison, William T. Parker, Fallon Branch, Nathan Yanasak, and Lorie A. Stumpo. "An Anatomical Template for the Normalization of Medical Images of Adult Human Hands." Diagnostics 13, no. 12 (2023): 2010. http://dx.doi.org/10.3390/diagnostics13122010.

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During medical image analysis, it is often useful to align (or ‘normalize’) a given image of a given body part to a representative standard (or ‘template’) of that body part. The impact that brain templates have had on the analysis of brain images highlights the importance of templates in general. However, templates for human hands do not exist. Image normalization is especially important for hand images because hands, by design, readily change shape during various tasks. Here we report the construction of an anatomical template for healthy adult human hands. To do this, we used 27 anatomicall

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CAI, HUAN, and LEQUAN MIN. "A KIND OF TWO-INPUT CNN WITH APPLICATION." International Journal of Bifurcation and Chaos 15, no. 12 (2005): 4007–11. http://dx.doi.org/10.1142/s021812740501443x.

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This paper presents a kind of two-input Cellular Neural Network (CNN). This kind of CNN has three templates: A-template, B-template and C-template. The B-template and C-template are in charge of coupling two input images to be processed by the CNN equation. It is expected the new CNN may be used to process simultaneously two images. As an application of the CNN, a background replacement (BR) CNN is introduced. The BR CNN can replace the light colored background of a RBG image by another color image. Two computer simulation examples show that the BR CNN image processing can display animated dra

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Zhang, Yin E. "Research of an Improved Snail Image Recognition Method Based on Grayscale Template Matching." Applied Mechanics and Materials 433-435 (October 2013): 700–704. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.700.

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As the lack in the accuracy and speed of the template matching algorithm for the snail image in the complex environment, the snail source image and the template image have the appropriate scaling in order to improve their sizes in the traditional algorithm. The new algorithm avoids the very big and accurate characteristics about the snail images through shrinking the source images down. The grayscale template matching method is put forward based on the traditional template selection set to prevent that the error caused by human factors on the selected template, the redundancy between the templ

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Wongsa, Paramest, Witaya Sungkarat, and Supattana Auethavekiat. "Developing a PET normal brain template using diffusion tensor imaging images: A proof of concept." Journal of Associated Medical Sciences 56, no. 1 (2023): 159–65. http://dx.doi.org/10.12982/jams.2023.019.

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Background: Registered Positron emission tomography (PET) brain images to the standard normal PET brain templates can be performed to diagnosis dementia by using a vendor software, in which the brain template is based on T1-Weighted (T1W) images. However, the imperfection of an overlap between PET images and the PET-T1W based brain template could be observed. Objectives: This pilot study aimed to develop a new PET brain template and compare the accuracy of image registration between a conventional PET-T1W based brain template and our proposed PET-DTI based brain template. Materials and methods

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Wongsa, Paramest, Witaya Sungkarat, and Supattana Auethavekiat. "Developing a PET normal brain template using diffusion tensor imaging images: A proof of concept." Journal of Associated Medical Sciences 56, no. 1 (2023): 159–66. http://dx.doi.org/10.12982/jams.2023.031.

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Background: Registered Positron emission tomography (PET) brain images to the standard normal PET brain templates can be performed to diagnosis dementia by using a vendor software, in which the brain template is based on T1-Weighted (T1W) images. However, the imperfection of an overlap between PET images and the PET-T1W based brain template could be observed. Objectives: This pilot study aimed to develop a new PET brain template and compare the accuracy of image registration between a conventional PET-T1W based brain template and our proposed PET-DTI based brain template. Materials and methods

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6

Budiharto, Widodo, Djoko Purwanto, and Mauridhi Hery Purnomo. "EDGE DETECTION USING CELLULAR NEURAL NETWORK AND TEMPLATE OPTIMIZATION." CCIT Journal 4, no. 1 (2010): 101–9. http://dx.doi.org/10.33050/ccit.v4i1.358.

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Result of edge detection using CNN could be not optimal, because the optimal result is based on template applied to the images. During the first years after the introduction of the CNN, many templates were designed by cut and try techniques. Today, several methods are available for generating CNN templates or algorithms. In this paper, we presented a method to make the optimal result of edge detection by using TEMPO (Template Optimization). Result shown that template optimization improves the image quality of the edges and noise are reduced. Simulation for edge detection uses CANDY Simulator,

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Amal Joseph, Binny S, Abhishek V A, Nithin Raj, and Vimel Manoj. "DEEP FACE - On the Reconstruction of Face Images from Deep Face Templates." international journal of engineering technology and management sciences 7, no. 4 (2023): 606–11. http://dx.doi.org/10.46647/ijetms.2023.v07i04.083.

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The paper on “Reconstruction of Face Images from Deep Face Templates" presents a novel approach for face image reconstruction using deep learning techniques. The proposed method utilizes a pre-trained deep face template, which is a convolutional neural network (CNN) trained on a large-scale face dataset, as a prior to guide the reconstruction process. Specifically, the method solves an optimization problem that balances the fidelity to the input image and the similarity to the deep face template. Its then evaluated with the method on two face image datasets, and demonstrate that their method o

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Qiu, Yijin, Xingjie Chen, and Zhaomin Lv. "Rail Fastener Positioning Based on Double Template Matching." Complexity 2020 (October 5, 2020): 1–10. http://dx.doi.org/10.1155/2020/8316969.

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For global template matching (GTM), which is commonly used in the positioning of rail fasteners, only the fastener template is used to search the global image in both two dimensions, which will result in errors in two dimensions, and the lower positioning accuracy will be caused. A positioning method for rail fasteners based on double template matching (DTM) is proposed in this paper, in which the double template contains the rail template and the fastener template. First, the rail template is used to scan the original image in horizontal dimension, and the squared Euclidean distance (SED) is

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9

Mon, Ei Ei, Sangsuree Vasupongayya, Montri Karnjanadecha, and Touchai Angchuan. "Evaluating biometrics fingerprint template protection for an emergency situation." Tehnički glasnik 13, no. 4 (2019): 280–85. http://dx.doi.org/10.31803/tg-20191104190328.

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Biometric template protection approaches have been developed to secure the biometric templates against image reconstruction on the stored templates. Two cancellable fingerprint template protection approaches namely minutiae-based bit-string cancellable fingerprint template and modified minutiae-based bit-string cancellable fingerprint template, are selected to be evaluated. Both approaches include the geometric information of the fingerprint into the extracted minutiae. Six modified fingerprint data sets are derived from the original fingerprint images in FVC2002DB1_B and FVC2002DB2_B by condu

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SHARMA, ARUN, DINESH K. KUMAR, SANJAY KUMAR, and NEIL McLACHLAN. "WAVELET DIRECTIONAL HISTOGRAMS OF THE SPATIO-TEMPORAL TEMPLATES OF HUMAN GESTURES." International Journal of Wavelets, Multiresolution and Information Processing 02, no. 03 (2004): 283–98. http://dx.doi.org/10.1142/s0219691304000512.

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This paper evaluates the efficacy of directional information of wavelet multi-resolution decomposition to enhance histogram-based classification of human gestures. The gestures are represented by spatio-temporal templates. This template collapses spatial and temporal components of motion into a static gray scale image such that no explicit sequence matching or temporal analysis is required, and it reduces the dimensionality to represent motion. These templates are modified to be invariant to translation and scale. Two-dimensional, 3-level dyadic wavelet transforms have been applied on the temp

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11

Zheng, Hong Mei, Yu Cheng Wu, Xin Min Huang, Jie Wu Cui, and Yan Wang. "Trial-Constructing a Novel Image of AAO Template." Key Engineering Materials 503 (February 2012): 440–46. http://dx.doi.org/10.4028/www.scientific.net/kem.503.440.

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The Self-Organizing Anodic Aluminium Oxide(AAO) Template Is Widely Used to Construct the Nanomaterials. but the AAO Film Is Very Thin and Brittle, the AAO Templates Are Easily Been Destroied when Widening and Opening the Nanopores. the Nanorods/wires Constructed by this Template Likely Aggregate because of the High Activity of Nano-Surface at Short Range. this Paper Proposed a Novel Image of AAO Template in which Several Nanopores Combined Together to Form a Large Open Holes without Widening the Cells and Opening Barrier Layers. the Electronic Aluminium Foils with 99.99% Purity Is Anodized in

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Maheshwari, Uma, and Kalpana Kalpana. "Multimodal Image Fusion in Biometric Authentication." Fusion: Practice and Applications 1, no. 2 (2020): 79–91. http://dx.doi.org/10.54216/fpa.010203.

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During this study, a unique multimodal biometric system was constructed. This system incorporated a variety of unimodal biometric inputs, including fingerprints, palmprints, knuckle prints, and retina images. The multimodal system generated the fused template via feature-level fusion, which combined several different biometric characteristics. The Gabor filter extracted the features from the various biometric aspects. The fusion of the extracted information from the fingerprint, knuckle print, palmprint, and retina into a single template, which was then saved in the database for authentication

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13

J, Badrinaathan, and L. N.B.Srinivas. "Angle and Scale Invariant Template Matching for Handling Image Distortions." International Journal of Engineering & Technology 7, no. 2.24 (2018): 102. http://dx.doi.org/10.14419/ijet.v7i2.24.12009.

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Template matching is a diagnostic approach for detecting a patch of a template image in a given source image. This plays a vital role in multitudinal computer vision applications. In this paper, we propose a methodology that makes the naive template matching algorithm scale and angle invariant during the image recognition process where the source and template is converted to gray scale which makes the technique enhance its proficiency. The proposed algorithm handles the arbitrary modulations of the image patch with respect to size and angle by an exhaustive search of all combinations of sizes

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14

Li, Zhiyong, Pengfei Li, Xiaoping Yu, and Mervat Hashem. "Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/793769.

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It is a challenge to represent the target appearance model for moving object tracking under complex environment. This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating. Firstly, we initialize the target object region and calculate its HSV color histogram feature as

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15

Han, Youngmo. "Reliable Template Matching for Image Detection in Vision Sensor Systems." Sensors 21, no. 24 (2021): 8176. http://dx.doi.org/10.3390/s21248176.

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Template matching is a simple image detection algorithm that can easily detect different types of objects just by changing the template without tedious training procedures. Despite these advantages, template matching is not currently widely used. This is because traditional template matching is not very reliable for images that differ from the template. The reliability of template matching can be improved by using additional information (depths for the template) available from the vision sensor system. Methods of obtaining the depth of a template using stereo vision or a few (two or more) temp

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Abdillah, Muhammad Hasya, Muhammad Arip Putra Sabilah, Andika Suherman, and Dwi Astharini. "Product Defect Detection using Image Template Matching with MATLAB." EXSACT-A 1 (December 31, 2023): 63. http://dx.doi.org/10.36722/exc.v1i1.2344.

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Abstract— In industrial manufacturing processes, ensuring the quality of products is crucial. This paper proposes a system for detecting defects in products using image template matching techniques implemented in MATLAB. The system's primary function is to compare captured images of products with predefined templates to identify potential defects accurately. The method employed in this system is template matching, a well-established approach in image analysis that allows for efficient defect detection. MATLAB, a widely used software tool for image processing, provides the necessary functionali

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17

Peng, Jian, and Ya Su. "An Improved Algorithm for Detection and Pose Estimation of Texture-Less Objects." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 2 (2021): 204–12. http://dx.doi.org/10.20965/jaciii.2021.p0204.

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This paper introduces an improved algorithm for texture-less object detection and pose estimation in industrial scenes. In the template training stage, a multi-scale template training method is proposed to improve the sensitivity of LineMOD to template depth. When this method performs template matching, the test image is first divided into several regions, and then training templates with similar depth are selected according to the depth of each test image region. In this way, without traversing all the templates, the depth of the template used by the algorithm during template matching is kept

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18

Wang, Yu-Tzu, Jian-Hong Yu, Lun-Jou Lo, Pin-Hsin Hsu, and CHun-Li Lin. "Developing Customized Dental Miniscrew Surgical Template from Thermoplastic Polymer Material Using Image Superimposition, CAD System, and 3D Printing." BioMed Research International 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/1906197.

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This study integrates cone-beam computed tomography (CBCT)/laser scan image superposition, computer-aided design (CAD), and 3D printing (3DP) to develop a technology for producing customized dental (orthodontic) miniscrew surgical templates using polymer material. Maxillary bone solid models with the bone and teeth reconstructed using CBCT images and teeth and mucosa outer profile acquired using laser scanning were superimposed to allow miniscrew visual insertion planning and permit surgical template fabrication. The customized surgical template CAD model was fabricated offset based on the tee

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19

YANG, BANG-HUNG, SHYH-JEN WANG, YUAN-HWA CHOU, TUNG-PING SU, and JYH-CHENG CHEN. "THE EFFECT OF TEMPLATES ON 99MTC-ECD SPECT HEALTHY BRAIN PERFUSION ANALYSIS USING STATISTICAL PARAMETRIC MAPPING." Biomedical Engineering: Applications, Basis and Communications 18, no. 06 (2006): 296–304. http://dx.doi.org/10.4015/s1016237206000440.

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Objective: In vivo stability of tracer distribution of 99mTc-ECD SPECT images for healthy individuals are important to the application of regional cerebral blood flow (rCBF) in neurological studies. Statistical parametric mapping (SPM) software has been designed for voxel-by-voxel analysis of the whole brain imaging. Spatial normalization is the essential preprocessing step to transform individual images into the MNI standard template which corresponds with Talairach anatomic coordinates. However, the SPECT standard template provided with SPM2 software is 99mTc-HMPAO brain perfusion image. The

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Xiang, Zhong, Ding Zhou, Miao Qian, et al. "Repeat pattern segmentation of print fabric based on adaptive template matching." Journal of Engineered Fibers and Fabrics 15 (January 2020): 155892502097328. http://dx.doi.org/10.1177/1558925020973285.

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Patterned fabrics are generally constructed from the periodic repetition of a primitive pattern unit. Repeat pattern segmentation of printed fabrics has a very significant impact on the pattern retrieval and pattern defect detection. In this paper, we propose a new approach for repeat pattern segmentation by employing the adaptive template matching method. In contrast to the traditional method for template matching, the proposed algorithm first selects an adaptive size template image in the repeat pattern image based on the size of the original image and its local maximum edge density. Then it

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Jia, Jing Ping. "Template Based Table Document Recognition." Applied Mechanics and Materials 239-240 (December 2012): 932–35. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.932.

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In this paper we proposed an effective but simple table recognition algorithm in the OCR field. First a binary image template is built for the tables to be recognized, which consists of all the lines describing the table cells we are interested in. Then the images to be analyzed are thresholded and deskewed. Vertical and horizontal lines are extracted from the preprocessed image to form a table “scene”. Finally the binary image template is aligned to the table “scene” by minimizing their Hausdorff distance. From the alignment the image regions of interest corresponding to the table cells are e

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Du, Yi, and Ting Zhang. "The MPS Reconstruction of Porous Media Using Multiple-Grid Templates." Applied Mechanics and Materials 462-463 (November 2013): 462–65. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.462.

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It is difficult to reconstruct the unknown information only by some sparse known data in the reconstruction of porous media. Multiple-point geostatistics (MPS) has been proved to be a powerful tool to capture curvilinear structures or complex features in training images. One solution to capture large-scale structures while considering a data template with a reasonably small number of grid nodes is provided by the multiple-grid method. This method consists in scanning a training image using increasingly finer multiple-grid data templates instead of a big and dense data template. The experimenta

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Guo, LongYuan, ShiNan Li, Wenjing Hu, et al. "Sub-Pixel Level Defect Detection Based on Notch Filter and Image Registration." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 06 (2018): 1854016. http://dx.doi.org/10.1142/s0218001418540162.

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General machine vision algorithms are difficult to detect LCD sub-pixel level defects. By studying the LCD screen images, we found that the pixels in the LCD screen are regularly arranged. The spectrum distribution of LCD images, which is obtained by the Fourier transform, is relatively consistent. According to this feature, a method of sub-pixel defect detection based on notch filter and image registration is proposed. First, we take a defect-free template image to establish registration template and notch-filtering template; then we take the defect images for image registration with registra

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Sultanov, Zh. "ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE." Scientific Journal of Astana IT University, no. 7 (October 30, 2021): 77–88. http://dx.doi.org/10.37943/aitu.2021.48.48.007.

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In this article, computer vision is considered as modern technology of automatic processing of graphic images, and the relationship between the terms “computer vision” and “machine vision” is investigated. A diagram of a typical computer vision system is given and the possibility of using a system based on an artificial neural network for image analysis is considered. The article analyses the current situation with the use of computer vision systems and the possibility of its application. This article presents face recognition algorithms for existing categories, including: empirical method; fe

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Khudher, Israa Mohammed. "LSB steganography strengthen footprint biometric template." Eastern-European Journal of Enterprise Technologies 1, no. 9 (109) (2021): 58–65. http://dx.doi.org/10.15587/1729-4061.2021.225371.

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Steganography is the science of hiding secret data inside another data type as image and text. This data is known as carrier data; it lets people interconnect secretly. This suggested paper aims to design a Steganography Biometric Imaging System (SBIS). The system is constructed in a hybridization manner between image processing, steganography, and artificial intelligence techniques. During image processing techniques the system receives RGB foot-tip images and preprocesses the images to get foot-template images. Then a chain code is illustrated for personal information within the foot-templat

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Israa, Mohammed Khudher. "LSB steganography strengthen footprint biometric template." Eastern-European Journal of Enterprise Technologies 1, no. 9(109) (2021): 58–65. https://doi.org/10.15587/1729-4061.2021.225371.

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Steganography is the science of hiding secret data inside another data type as image and text. This data is known as carrier data; it lets people interconnect secretly. This suggested paper aims to design a Steganography Biometric Imaging System (SBIS). The system is constructed in a hybridization manner between image processing, steganography, and artificial intelligence techniques. During image processing techniques the system receives RGB foot-tip images and preprocesses the images to get foot-template images. Then a chain code is illustrated for personal information within the foot-templat

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Lang, Shinan, Guiqiang Li, Yi Liu, Wei Lu, Qunying Zhang, and Kun Chao. "A GAN-Based Augmentation Scheme for SAR Deceptive Jamming Templates with Shadows." Remote Sensing 15, no. 19 (2023): 4756. http://dx.doi.org/10.3390/rs15194756.

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To realize fast and effective synthetic aperture radar (SAR) deception jamming, a high-quality SAR deception jamming template library can be generated by performing sample augmentation on SAR deception jamming templates. However, the current sample augmentation schemes of SAR deception jamming templates face certain problems. First, the authenticity of the templates is low due to the lack of speckle noise. Second, the generated templates have a low similarity to the target and shadow areas of the input templates. To solve these problems, this study proposed a sample augmentation scheme based o

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Liu, Xinyu, Yao Li, Yiyu Guo, and Luoyu Zhou. "Printing Defect Detection Based on Scale-Adaptive Template Matching and Image Alignment." Sensors 23, no. 9 (2023): 4414. http://dx.doi.org/10.3390/s23094414.

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Printing defects are extremely common in the manufacturing industry. Although some studies have been conducted to detect printing defects, the stability and practicality of the printing defect detection has received relatively little attention. Currently, printing defect detection is susceptible to external environmental interference such as illuminance and noise, which leads to poor detection rates and poor practicality. This research develops a printing defect detection method based on scale-adaptive template matching and image alignment. Firstly, the research introduces a convolutional neur

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Kuo, Chung-Feng Jeffrey, Cheng-Lin Lee, and Chung-Yang Shih. "Image database of printed fabric with repeating dot patterns part (I) – image archiving." Textile Research Journal 87, no. 17 (2016): 2089–105. http://dx.doi.org/10.1177/0040517516663160.

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An image database of printed fabrics with repeating dot patterns was created to alleviate issues associated with management of and searches for numerous dot printed fabrics in the printing industry. The function of the database is to archive and allow retrieval of images. First, we discuss image archiving of repeating pattern-based dot printed fabrics. The color image was scanned by resolution of 200 dpi. The wavelet transformation was used to preprocess the image to obtain a scanned image 1/16 of the size of the original to be the stored image. To acquire images with repeating pattern color a

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Hristov, Anton, Dimo Dimov, and Maria Nisheva-Pavlova. "Self-Supervised Foundation Model for Template Matching." Big Data and Cognitive Computing 9, no. 2 (2025): 38. https://doi.org/10.3390/bdcc9020038.

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Finding a template location in a query image is a fundamental problem in many computer vision applications, such as localization of known objects, image registration, image matching, and object tracking. Currently available methods fail when insufficient training data are available or big variations in the textures, different modalities, and weak visual features exist in the images, leading to limited applications on real-world tasks. We introduce Self-Supervised Foundation Model for Template Matching (Self-TM), a novel end-to-end approach to self-supervised learning template matching. The ide

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Li, Zhongjian, Nian Xiong, Jingan Wang, Ruru Pan, Weidong Gao, and Ning Zhang. "An intelligent computer method for automatic mosaic of sequential slub yarn images based on image processing." Textile Research Journal 88, no. 24 (2017): 2854–66. http://dx.doi.org/10.1177/0040517517732081.

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In order to analyze the parameters of slub yarn from sequential images accurately, an automatic image mosaic method is proposed in this paper. In this method, a series of overlapping yarn images, which are captured from a moving slub yarn, are stitched into a panorama automatically. Background subtraction, image segmentation and judgment template traversal methods are applied to preprocess the sequential images for obtaining a test image. Subsequently, certain rows in the bottom of the test image are used as a template image to match the next image. The matching coefficient matrix is calculate

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Gao, Yue Hua, and Bing Luo. "Keyboard Quality Automated Inspection Based on Machine Vision." Advanced Materials Research 765-767 (September 2013): 1877–80. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1877.

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Because traditional keyboard quality manual inspection is inefficient and low reliability for subjectivity, machine vision based automated inspection system was developed. Keyboards fine difference in position and rotation angles existing in captured images influenced image matching. Hough transform was applied to detect the edges of keyboards for their image calibration. Many small image templates for each key and a global template for entire keyboard were set up for automated inspecting character printing quality with moderate difference sufferance. Two CCD cameras were used for image captur

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Tan, K. S., M. N. Ayob, H. B. Hassrizal, et al. "Integrating Vision System to a Pick and Place Cartesian Robot." Journal of Physics: Conference Series 2107, no. 1 (2021): 012037. http://dx.doi.org/10.1088/1742-6596/2107/1/012037.

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Abstract Vision aided pick and place cartesian robot is a combination of machine vision system and robotic system. They communicate with each other simultaneously to perform object sorting. In this project, machine vision algorithm for object sorting to solve the problem in failure sorting due to imperfection of images edges and different types of colours is proposed. The image is acquired by a camera and followed by image calibration. Pre-processing of image is performed through these methods, which are HSI colour space transformation, Gaussian filter for image filtering, Otsu’s method for im

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Civcik, Levent, and Muhammed Alperen Aksin. "IMAGE ENHANCEMENT IN INDUSTRIAL WELDING ENVIRONMENT WITH IMAGE PROCESSING TECHNIQUES." Konya Journal of Engineering Sciences 13, no. 1 (2025): 238–59. https://doi.org/10.36306/konjes.1434797.

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With the increase and acceleration of production capacity, computer-based control mechanisms are becoming increasingly common in industrial applications. The use of intelligent welding robots in the welding industry is increasing due to their instant decision-making and application capabilities. For this reason, computer vision systems and image processing algorithms are increasingly used. Although visual limitations in sensors and industrial environmental conditions (arc, noise, dust, etc.) cause problems in robotic welding applications, computer-controlled systems achieve much more efficient

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Marwa, Fadhel Jassim, mohammed Saeed Hamzah Wafaa, and Fadhil Shimal Abeer. "Biometric iris templates security based on secret image sharingand chaotic maps." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 339–48. https://doi.org/10.11591/ijece.v12i1.pp339-348.

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Biometric technique includes of uniquely identifying person based on their physical or behavioural characteristics. It is mainly used for authentication. Storing the template in the database is not a safe approach, because it can be stolen or be tampered with. Due to its importance the template needs to be protected. To treat this safety issue, the suggested system employed a method for securely storing the iris template in the database which is a merging approach for secret image sharing and hiding to enhance security and protect the privacy by decomposing the template into two independent ho

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Patil, Sonali D., Roshani Raut, Rutvij H. Jhaveri, et al. "Robust Authentication System with Privacy Preservation of Biometrics." Security and Communication Networks 2022 (May 2, 2022): 1–14. http://dx.doi.org/10.1155/2022/7857975.

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IoT-based multi-biometric system is a blend of multiple biometric templates that can be used for user authentication/verification using sensors. The leakage of the biometric trait information may cause critical privacy and security issues. It is expected to protect the privacy details of individuals through the irreversibility, unlinkability, and renewability of multi-biometric templates used in the authentication system. This study presents a robust authentication system with secure multi-biometric template protection techniques based on discrete cosine transform feature transformation and La

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Acero-Cuellar, Tatiana, Federica Bianco, Gregory Dobler, Masao Sako, and Helen Qu. "What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction." Astronomical Journal 166, no. 3 (2023): 115. http://dx.doi.org/10.3847/1538-3881/ace9d8.

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Abstract We present a study of the potential for convolutional neural networks (CNNs) to enable separation of astrophysical transients from image artifacts, a task known as “real–bogus” classification, without requiring a template-subtracted (or difference) image, which requires a computationally expensive process to generate, involving image matching on small spatial scales in large volumes of data. Using data from the Dark Energy Survey, we explore the use of CNNs to (1) automate the real–bogus classification and (2) reduce the computational costs of transient discovery. We compare the effic

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Jassim, Marwa Fadhel, Wafaa mohammed Saeed Hamzah, and Abeer Fadhil Shimal. "Biometric iris templates security based on secret image sharing and chaotic maps." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 339. http://dx.doi.org/10.11591/ijece.v12i1.pp339-348.

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Biometric technique includes of uniquely identifying person based on their physical or behavioural characteristics. It is mainly used for authentication. Storing the template in the database is not a safe approach, because it can be stolen or be tampered with. Due to its importance the template needs to be protected. To treat this safety issue, the suggested system employed a method for securely storing the iris template in the database which is a merging approach for secret image sharing and hiding to enhance security and protect the privacy by decomposing the template into two independent ho

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Shafiqua, Noorain, and L. Muddannavar Mala. "Secured Biometric Authentication of Iris Image using Visual Cryptography." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 6 (2020): 281–84. https://doi.org/10.35940/ijeat.F1393.089620.

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In the modern era of information technology security violation and attacks are increasing day by day . So, in order to manage this issues the number of ways of providing security to the systems are introduced .In which the most promising one is to improve the security by identifying or verifying the person using some technique. So, the basic idea is to use the identity of a person which can improve the security. Thus, the proposed work focuses on the security architecture for protecting integrity of iris images using watermarking and visual cryptography (VC). First, for protecting the iris ima

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KAMEYAMA, KEISUKE, KAZUO TORAICHI, and YUKIO KOSUGI. "CONSTRUCTIVE RELAXATION MATCHING INVOLVING DYNAMICAL MODEL SWITCHING AND ITS APPLICATION TO SHAPE MATCHING." International Journal of Image and Graphics 02, no. 04 (2002): 655–67. http://dx.doi.org/10.1142/s0219467802000822.

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This paper introduces a novel approach for contour-based shape matching named as Constructive Relaxation Matching (CRM). Relaxation Matching (RM) introduced by Rosenfeld et al. is one of the standard method for quasi-optimally solving the local correspondences of the template and input images. RM relies on an energy-minimizing nature of the dynamical system to update the label assignment to the input objects. In image matching relying on a particular modeling method, apparently similar images can be judged as being quite distant, according to the nature of the modeling process and its outcome.

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Althobaiti, Noura, Kawthar Moria, Lamiaa Elrefaei, Jamaan Alghamdi, and Haythum Tayeb. "Construction of a Structurally Unbiased Brain Template with High Image Quality from MRI Scans of Saudi Adult Females." Bioengineering 12, no. 7 (2025): 722. https://doi.org/10.3390/bioengineering12070722.

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In brain mapping, structural templates derived from population-specific MRI scans are essential for normalizing individual brains into a common space. This normalization facilitates accurate group comparisons and statistical analyses. Although templates have been developed for various populations, none currently exist for the Saudi population. To our knowledge, this work introduces the first structural brain template constructed and evaluated from a homogeneous subset of T1-weighted MRI scans of 11 healthy Saudi female subjects aged 25 to 30. Our approach combines the symmetric model construct

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Sub-r-pa, Chayanon, and Rung-Ching Chen. "Self-Supervised Keypoint Learning for the Geometric Analysis of Road-Marking Templates." Algorithms 18, no. 7 (2025): 379. https://doi.org/10.3390/a18070379.

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Robust visual perception and geometric alignment are crucial for intelligent automation in various domains, such as industrial processes and infrastructure monitoring. Accurately aligning structured visual elements, such as floor markings or road-marking templates, is essential for tasks like automated guidance, verification, and condition assessment. However, traditional feature-based methods struggle with templates that feature simple geometries and lack rich textures, making reliable feature matching and alignment difficult, even under controlled conditions. To address this, we propose GeoT

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Kusuma, Abdi Pandu, and Darmanto. "Pengenalan Angka Pada Sistem Operasi Android Dengan Menggunakan Metode Template Matching." Register: Jurnal Ilmiah Teknologi Sistem Informasi 2, no. 2 (2016): 68. http://dx.doi.org/10.26594/r.v2i2.549.

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AbstrakUsia dini merupakan usia yang efektif untuk mengembangkan berbagai potensi yang dimiliki oleh anak. Upaya pengembangan potensi dapat dilakukan melalui berbagai cara termasuk dengan cara bermain. Bermain bagi anak merupakan cara yang tepat untuk belajar. Berdasarkan fenomena tersebut, maka perlu dibuat sebuah aplikasi pengenalan angka yang interaktif dengan unsur edukasi. Aplikasi tersebut diharapkan dapat mengambil keputusan secara otomatis apa yang ditulis anak itu bernilai benar atau salah dan juga dapat membangkitkan semangat belajar anak dalam mengenal pola angka. Solusi yang sesuai

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Neelakanta, Perambur S., Edward M. Bertot, and Deepti Pappusetty. "Bioinformatics-Inspired Algorithms for 2D-Image Analysis—Application to Medical Images Part II." International Journal of Biomedical and Clinical Engineering 1, no. 1 (2012): 49–58. http://dx.doi.org/10.4018/ijbce.2012010104.

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This paper describes a new method of comparing images of circular/near-circular symmetry so as to elucidate the similarity details between them. If one such image is a test-entity and the other is a reference template, the comparison in question will lead to find the unique features (and their locations) in the test-image vis-à-vis the template. The method of comparison and similarity assessment indicated thereof is to use the so-called Needleman-Wunsch (NW) and Smith-Waterman (SW) algorithms commonly adopted in bioinformatic contexts of comparing two linear sequences (like DNA chains). Releva

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Mohan, Mamtha, and B. K. Sujatha. "A Tenable Approach for Protection of Electronic Medical Records Using Thermal Image Watermarking." International Journal of Biomedical and Clinical Engineering 6, no. 2 (2017): 46–61. http://dx.doi.org/10.4018/ijbce.2017070104.

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This paper presents a novel security architecture for protecting the integrity of facial signature images and templates using watermarking and Visual Cryptography (VC). The proposed scheme offers a complete protection framework for the facial signature biometrics consists of two stages: the first stage is for facial signature image protection while the second is for the facial signature template. Firstly, a watermark text which carries personal information of the patient is embedded in the middle band frequency region of the facial signature image using a novel watermarking algorithm that rand

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Rahman, Sayuti, and Ulfa Sahira. "PENGENALAN IRIS MATA MENGGUNAKAN METODE TEMPLATE MATCHING CORRELATION." JURNAL TEKNOLOGI INFORMASI 2, no. 2 (2019): 105. http://dx.doi.org/10.36294/jurti.v2i2.424.

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Abstract - Biometrics is the study of automatic methods for recognizing humans based on one or more parts of the human body that are unique. One human characteristic that can be used is iris, iris features can be used as distinguishing characteristics with other individuals. The stage that the writer did to be able to recognize the iris pattern of someone's eye in a digital image was the pre-processing stage, the template saving stage and the matching stage. In this study the author applies the template matching method to store the image into a template image stored in the database and the alg

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Ma, Jun Yong, Shao Dong Chen, and Sheng Wei Zhang. "Detection and Tracking of Vehicle Target Based on Super-Resolution Reconstruction and Variable Template Matching." Applied Mechanics and Materials 541-542 (March 2014): 1429–32. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.1429.

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Vehicle Target Detection and Tracking Method Based on Image Super-Resolution Reconstruction and Variable Template Matching is Put Forward. Firstly, a Nonlinear Iterative Algorithm is Applied to Reconstruct a Super-Resolution Image from Low Resolution Image Sequence; then, the Image is Standardized and the Movement Areas are Determined; Finally, the Variable Template Matching Method is Used to Detect and Track the Vehicle Targets in Movement Areas. from the Characteristics of Algorithm and the Experiment Results, we can see that the Proposed Algorithm Improves the Matching Accuracy of Target Tr

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Katili, Irham Ferdiansyah, Fairuz Dyah Esabella, and Ardytha Luthfiarta. "Pattern Recognition Of Javanese Letter Using Template Matching Correlation Method." Journal of Applied Intelligent System 3, no. 2 (2018): 49–56. http://dx.doi.org/10.33633/jais.v3i2.1954.

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In this modern age, the impact of globalization is increasingly entering and expanding into most societies. One impact of globalization makes people prefer to learn the language and use a foreign language rather than the local language, especially the Java language. It is very influential on the knowledge of the community about the existence or the existence of Javanese Letter, especially in the field of education. In this study, In this research will be made an application to recognize the writing of Javanese Letter based on Optical Character Recognition (OCR). Matching templates correlation

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Jo, Hang-Chan, Hyeonwoo Jeong, Junhyuk Lee, Kyung-Sun Na, and Dae-Yu Kim. "Quantification of Blood Flow Velocity in the Human Conjunctival Microvessels Using Deep Learning-Based Stabilization Algorithm." Sensors 21, no. 9 (2021): 3224. http://dx.doi.org/10.3390/s21093224.

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The quantification of blood flow velocity in the human conjunctiva is clinically essential for assessing microvascular hemodynamics. Since the conjunctival microvessel is imaged in several seconds, eye motion during image acquisition causes motion artifacts limiting the accuracy of image segmentation performance and measurement of the blood flow velocity. In this paper, we introduce a novel customized optical imaging system for human conjunctiva with deep learning-based segmentation and motion correction. The image segmentation process is performed by the Attention-UNet structure to achieve hi

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Berry, E., M. Cuppone, S. Porada, et al. "Personalised image-based templates for intra-operative guidance." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 219, no. 2 (2005): 111–18. http://dx.doi.org/10.1243/095441105x9273.

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The high rate of unplanned perforation, poor fixation, and nerve injury with freehand pedicle screw insertion has led to the use of image-guided navigation systems. Although these improve accuracy, they have several drawbacks that could be overcome by using image-based drilling guide templates. The accuracy of such templates was tested in a cadaveric study of screw placement in the lumbar, thoracic, and cervical regions of the spine. The dimensional stability with autoclaving of duraform polyamide, to be used for manufacturing the guides, was first determined using test specimens. Computed tom

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