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Relevant bibliographies by topics / Template Image

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Academic literature on the topic 'Template Image'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Template Image"

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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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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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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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Dissertations / Theses on the topic "Template Image"

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Park, Gwangcheol. "Multiscale deformable template matching for image analysis." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/13737.

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Chai, Sin-kuo. "Parallel implementation of template matching on hypercube array processors." Ohio : Ohio University, 1989. http://www.ohiolink.edu/etd/view.cgi?ohiou1182284875.

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Gokozan, Tolga. "Template Based Image Watermarking In The Fractional Fourier Domain." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605837/index.pdf.

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One of the main features of digital technology is that the digital media can be duplicated and reproduced easily. However, this allows unauthorized and illegal use of information, i.e. data piracy. To protect digital media against illegal attempts a signal, called watermark, is embedded into the multimedia data in a robust and invisible manner. A watermark is a short sequence of information, which contains owner&rsquo<br>s identity. It is used for evidence of ownership and copyright purposes. In this thesis, we use fractional Fourier transformation (FrFT) domain, which combines space and spati

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Tzimiropoulos, Georgios. "A fast gradient-based approach to image template matching." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501778.

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Qian, Songyue. "Using convolutional neural network to generate neuro image template." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1546620227038248.

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Verhaaren, Catharine C. "Improving Course Assessments Through a Product Assessment Template." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2338.pdf.

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Keisarian, Farhad. "A pyramid image coder using Block Template Matching (BTM) algorithm." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263412.

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Hewett, Andrew John. "Training and speaker adaptation in template-based speech recognition." Thesis, University of Cambridge, 1989. https://www.repository.cam.ac.uk/handle/1810/250961.

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Serce, Hakan. "Facial Feature Extraction Using Deformable Templates." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1224674/index.pdf.

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The purpose of this study is to develop an automatic facial feature extraction system, which is able to identify the detailed shape of eyes, eyebrows and mouth from facial images. The developed system not only extracts the location information of the features, but also estimates the parameters pertaining the contours and parts of the features using parametric deformable templates approach. In order to extract facial features, deformable models for each of eye, eyebrow, and mouth are developed. The development steps of the geometry, imaging model and matching algorithms, and energy functions fo

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Mei, Zhijie. "Computer-Aided Optically Scanned Document Information Extraction System." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39190.

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This paper introduced a Computer-Aided Optically Scanned Document Information Extraction System. It could extract information including invoice No., issued date, buyer, etc., from the optically scanned document to meet the demand of customs declaration companies. The system output the structured information to a relational database. In detail, a software architecture for the information extraction of diverse-structure optically scanned document is designed. In this system, the original document is classified firstly. It would put into template-based extraction to improve the extraction perform

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Books on the topic "Template Image"

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Bin-Nun, Yigʼal. Ḳitsur toldot YHṾH: Ha-im hayah pesel shel YHṾH be-Vet ha-miḳdash? = A short story of Yahweh : a statue of Yahweh in the Jerusalem Temple? Resling, 2016.

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M, Gujral Lalit, ed. The iconography of the Br̥hadīśvara temple. Indira Gandhi National Centre for the Arts, 2002.

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Mevissen, Gerd J. R. Temple architecture and imagery of South and Southeast Asia: Prāsādanidhi: papers presented to Professor M.A. Dhaky. Aryan Books International, 2016.

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author, Jayathilaka Vajira Nalinda, and University of Kelaniya. Samkathana Research Centre, eds. Buddhist image houses: The evolution of temple design from the Kandyan Era to Independence. Samkathana Research Centre, HETC Project, Faculty of Humanities, University of Kelaniya, 2015.

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Sinha, Vineeta. Some notes on "temple"-building and image-worship in Indian religion, in historical perspective. Dept. of Sociology, National University of Singapore, Republic of Singapore, 1991.

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Soundararajan, J. Early Chālukyan temples: Art, architecture & iconography : with special reference to Aihole. Sharada Pub. House, 2009.

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Sengupta, Arputha Rani. Kailasanatha Temple: The realm of immortals. Agam Kala Prakashan, 2009.

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Sengupta, Arputha Rani. Kailasanatha Temple: The realm of immortals. Agam Kala Prakashan, 2009.

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Irātākiruṣṇan̲, Ku. Tirukkaṇṇamaṅkai kōyil cir̲paṅkaḷ. Tirukkur̲aḷ Patippakam, 2008.

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Tom, Petrie, Leighton Kim, and Linder Greg 1950-, eds. Temple wilderness: A collection of thoughts and images on our spiritual bond with the Earth. Willow Creek Press, 1996.

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Book chapters on the topic "Template Image"

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Sabuncu, Mert R., B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, and Polina Golland. "Asymmetric Image-Template Registration." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04268-3_70.

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Choi, Yoon-Seok, Bon-Ki Koo, and Ji-Hyung Lee. "Template Based Image Mosaics." In Entertainment Computing – ICEC 2007. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74873-1_64.

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Cabido, Raúl, Antonio S. Montemayor, and Ángel Sánchez. "Hardware-Accelerated Template Matching." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492429_83.

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Baghel, Vivek Singh, and Surya Prakash. "Cancelable biometrics for fingerprint template protection." In Digital Image Security. CRC Press, 2024. http://dx.doi.org/10.1201/9781003468974-14.

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Prevost, Raphael, Rémi Cuingnet, Benoit Mory, Laurent D. Cohen, and Roberto Ardon. "Tagged Template Deformation." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10404-1_84.

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Zhang, Hongmou, Denis Grießbach, Jürgen Wohlfeil, and Anko Börner. "Uncertainty Model for Template Feature Matching." In Image and Video Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75786-5_33.

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Huizinga, Wyke, Stefan Klein, and Dirk H. J. Poot. "Fast Multidimensional B-spline Interpolation Using Template Metaprogramming." In Biomedical Image Registration. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08554-8_2.

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Prasad, Munaga V. N. K., and B. Adinarayana. "Image and Template Security for Palmprint." In Intelligent Computing, Networking, and Informatics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1665-0_1.

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Ranka, Sanjay, and Sartaj Sahni. "Parallel Algorithms for Image Template Matching." In Parallel Algorithms for Machine Intelligence and Vision. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3390-9_11.

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Mirhosseini, Ali Reza, Kin-Man Lam, and Hong Yan. "An adaptive deformable template for mouth boundary modeling." In Image Analysis and Processing. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63507-6_245.

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Conference papers on the topic "Template Image"

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Bhadouria, Vikesh Singh, You-rim Park, and Joo Beom Eom. "A Template-Matching-based Algorithm for Optical Microscope Image Stitching." In Bragg Gratings, Photosensitivity, and Poling in Glass Waveguides. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/bgpp.2024.jtu1a.44.

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This paper proposes a template-based method to enhance image-stitching in whole slide microscopy, tackling stage misalignment and flat field issues, improving accuracy and efficiency despite mechanical instability.

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Alexander, Eugene J., and Thomas P. Andriacchi. "A Model Based Approach for Efficient Segmentation of Knee Cartilage From MR Image Data." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/bed-23052.

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Abstract A novel algorithm was developed to facilitate segmentation of the articular cartilage of the knee from magnetic resonance (MR) image data. The new approach uses a model of the bone and cartilage elements of the knee as a template. The operator initializes the template by aligning certain bony anatomic landmarks. The inner cartilage surface (ICS) is determined through a standard seed growing segmentation approach; the bone elements of the template are then fit to the ICS through an elastic registration technique. The deformation fields thus obtained are subsequently applied to the appr

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Barone, Massimiliano. "Image Wafer Inspection based on Template Matching." In 10th International Conference on Advances in Computing and Information Technology (ACITY 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101505.

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This paper presents a template matching technique for detecting defects in VLSI wafer images. This method is based on traditional techniques of image analysis and image registration, but it combines the prior art of image wafer inspection in a new way, using prior knowledge like the design layout of VLSI wafer manufacturing process. This technique requires a golden template of the patterned wafer image under inspection which is obtained from the wafer image itself mixed to the layout design schemes. First a mapping between physical space and pixel space is needed. Then a template matching is a

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Mok, Fai, Michael Tackitt, and Harold M. Stoll. "Massively parallel optical template matcher/correlator." In OSA Annual Meeting. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.thii4.

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Many proposed architectures for optical pattern-recognition use large space–bandwidth template matching. Experience gained in the last 10 years or so of research indicates that a large number of templates/filters are required in order for most applications to be practical. Traditionally, optical-correlation techniques have relied on templates/filters being either serially presented in time or spatially multiplexed in two dimensions. For many applications, the former approach is penalized by excessive time–overhead, whereas the latter approach requires an unrealistically large space–bandwidth p

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Bielecki, Dustin, Prakhar Jaiswal, and Rahul Rai. "Binary Image Recognition Utilizing Computer Generated Templates." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67983.

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This paper covers a method of taking images of physical parts which are then preprocessed and compared against CAD generated templates. A pseudo milling operation was performed on discretized points along CAD generated mill paths to create binary image templates. The computer-generated images were then tested against one another as a preliminarily sorting technique. This was done to reduce the number of sorting approaches used, by selecting the most reliable and discerning ones, and discarding the others. To apply the selected sorting methods for comparing CAD generated images and the images o

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Zhang, Qiao, Huijie Gao, and Zhen Kang. "Fast template matching with partial skipping using sub-template." In 2012 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2012. http://dx.doi.org/10.1109/icalip.2012.6376739.

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Bhattacharya, P., and K. Qian. "Image processing by template polynomials." In Ninth Annual International Phoenix Conference on Computers and Communications. 1990 Conference Proceedings. IEEE, 1990. http://dx.doi.org/10.1109/pccc.1990.101710.

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Micusik, B., and A. Hanbury. "Template patch driven image segmentation." In British Machine Vision Conference 2006. British Machine Vision Association, 2006. http://dx.doi.org/10.5244/c.20.84.

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Soleimani, Hossein, and Mohammadali Khosravifard. "Mutual Information-Based Image Template Matching with Small Template Size." In 2011 7th Iranian Conference on Machine Vision and Image Processing (MVIP). IEEE, 2011. http://dx.doi.org/10.1109/iranianmvip.2011.6121608.

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Tan, Thiow Keng, Choong Seng Boon, and Yoshinori Suzuki. "Intra Prediction by Template Matching." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.312685.

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Reports on the topic "Template Image"

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Tytarenko 6, Nick. Preregistration Template (image). ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.kxmkcytl.

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Tytarenko 6, Nick. Preregistration Template (image). ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.w6anl650.

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Tytarenko 6, Nick. Preregistration Template with image. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.8ygxwto2.

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Tytarenko 6, Nick. Preregistration Template with an image. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.w5mja36n.

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Tytarenko 6, Nick. Preregistration Template with an image v2. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.44ktok80.

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McGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, 2014. http://dx.doi.org/10.34074/rsrp.005.

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The aim of this research is to generate a resource to assist construction lecturers in identifying opportunities where Building Information Modelling [BIM] could be employed to augment the delivery of subject content within individual courses on construction technology programmes. The methodology involved a detailed analysis of the learning objectives and underpinning knowledge of the course content by topic area, within the residential Construction Systems 1 course presently delivered at Unitec on the National Diplomas in Architectural Technology[NDAT], Construction Management [NDCM] and Quan

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McGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, 2014. http://dx.doi.org/10.34074/rsrp.005.

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The aim of this research is to generate a resource to assist construction lecturers in identifying opportunities where Building Information Modelling [BIM] could be employed to augment the delivery of subject content within individual courses on construction technology programmes. The methodology involved a detailed analysis of the learning objectives and underpinning knowledge of the course content by topic area, within the residential Construction Systems 1 course presently delivered at Unitec on the National Diplomas in Architectural Technology[NDAT], Construction Management [NDCM] and Quan

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Amit, Yali. Deformable Topological Templates for Image Analysis. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada316810.

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Wendelberger, James. Template size and proper overlap detection in Laser Confocal Microscope (LCM) images. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1812643.

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Saiwan, Chintana. Mesostructural ultra thin silica film formation through admicellar technique. Chulalongkorn University, 2003. https://doi.org/10.58837/chula.res.2003.78.

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Thin silica film formation from adsolubilization of inorganic silica precursors, letra-n-butoxysilane (TBOS) and tetraethyl orthosilicate (TBOS) in admicellar polymerization were studies. Cetyltrimethylammonium bromide (CTAB) at 700 uM and octyl phenol ethoxylate or Triton X-100 at 200 uM were used as surfactant templates for adsolubilizates TBOS and TBOS respectively. For the TBOS/CTAB system, the atomic force microscopy (AFM) topographic images showed fibers, hemispheres and flat layers existing along with increase of surface coverge on the mica surface as the TBOS feed concentration was inc

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