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Journal articles on the topic 'Canny and Gabor filter'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Dhanashri, Lamane, and Naik Ameya. "MULTI-MODAL BIO-METRIC AUTHENTICATION USING GABOR AND CANNY FILTERING METHOD." JournalNX - a Multidisciplinary Peer Reviewed Journal RIT PG Con-18 (April 22, 2018): 237–42. https://doi.org/10.5281/zenodo.1413759.

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 Every human has unique biological features, which can be used for the person authentication. More than one biological feature can be used for authentication to achieve a higher degree of security. The proposed system uses fingerprint and iris biometric features for authentication purpose with Gabor and Canny filtering method. Gabor filters are linear filters applied in multiple directions to compensate for orientation effect. The proposed system uses Gabor filter with eight direction rotation. The canny filter is the multilevel algorithm that detects a wide range of edges with a low erro

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Y. K., Anupama, Amutha S., and Ramesh Babu D. R. "An Efficient Preprocessing Technique for Multimodality Breast Cancer Images." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 08 (2023): 88–96. http://dx.doi.org/10.3991/ijoe.v19i08.40043.

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On average, one in every eight women is diagnosed with breast cancer during their lifetime, and accounts for 14% of cancers in women. Since early diagnosis could improve treatment outcomes and longer survival times for patients, it is absolutely necessary to develop techniques to classify lesions within breast cancer mammograms and ultrasound images. The main goal is to determine the class of tumor present within the image, which is pivotal in diagnosing breast cancer patients. In this paper, we propose an Sobel-Canny-Gabor(SCG) model, which is a hybrid model that implements three different ed

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Kamanga, Isaack Adidas. "Improved Edge Detection using Variable Thresholding Technique and Convolution of Gabor with Gaussian Filters." Signal & Image Processing : An International Journal 13, no. 5 (2022): 1–15. http://dx.doi.org/10.5121/sipij.2022.13501.

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Medical Field, Robotic vision, Pattern recognition, Hurdle detection, and smart city are examples of areas that require image processing to achieve automation. Detecting an edge is an important stage in any computer vision application. The performance of the edge detecting algorithm is largely affected by the noise present in an image. An Image with a low signal-to-noise ratio (SNR), imposes a challenge to locate its edges. To improve the observable image boundaries, an adaptive filtering technique is proposed in this article. The proposed algorithm uses convolution of Gabor filter with Gaussi

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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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Chen, Xinqiang, Huixing Chen, Huafeng Wu, et al. "Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter." Sensors 20, no. 3 (2020): 932. http://dx.doi.org/10.3390/s20030932.

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Maritime surveillance videos provide crucial on-spot kinematic traffic information (traffic volume, ship speeds, headings, etc.) for varied traffic participants (maritime regulation departments, ship crew, ship owners, etc.) which greatly benefits automated maritime situational awareness and maritime safety improvement. Conventional models heavily rely on visual ship features for the purpose of tracking ships from maritime image sequences which may contain arbitrary tracking oscillations. To address this issue, we propose an ensemble ship tracking framework with a multi-view learning algorithm

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Biswas, Rubel, Jia Uddin, and Md Junayed Hasan. "A New Approach of Iris Detection and Recognition." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2530. http://dx.doi.org/10.11591/ijece.v7i5.pp2530-2536.

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This paper proposes an IRIS recognition and detection model for measuring the e-security. This proposed model consists of the following blocks: segmentation and normalization, feature encoding and feature extraction, and classification. In first phase, histogram equalization and canny edge detection is used for object detection. And then, Hough Transformation is utilized for detecting the center of the pupil of an IRIS. In second phase, Daugmen’s Rubber Sheet model and Log Gabor filter is used for normalization and encoding and as a feature extraction method GNS (Global Neighborhood Structure)

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Rubel, Biswas, Uddin Jia, and Junayed Hasan Md. "A New Approach of Iris Detection and Recognition." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2530–36. https://doi.org/10.11591/ijece.v7i5.pp2530-2536.

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This paper proposes an IRIS recognition and detection model for measuring the e-security. This proposed model consists of the following blocks: segmentation and normalization, feature encoding and feature extraction, and classification. In first phase, histogram equalization and canny edge detection is used for object detection. And then, Hough Transformation is utilized for detecting the center of the pupil of an IRIS. In second phase, Daugmen’s Rubber Sheet model and Log Gabor filter is used for normalization and encoding and as a feature extraction method GNS (Global Neighborhood Stru

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Chen, Xinqiang, Shengzheng Wang, Chaojian Shi, Huafeng Wu, Jiansen Zhao, and Junjie Fu. "Robust Ship Tracking via Multi-view Learning and Sparse Representation." Journal of Navigation 72, no. 1 (2018): 176–92. http://dx.doi.org/10.1017/s0373463318000504.

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Conventional visual ship tracking methods employ single and shallow features for the ship tracking task, which may fail when a ship presents a different appearance and shape in maritime surveillance videos. To overcome this difficulty, we propose to employ a multi-view learning algorithm to extract a highly coupled and robust ship descriptor from multiple distinct ship feature sets. First, we explore multiple distinct ship feature sets consisting of a Laplacian-of-Gaussian (LoG) descriptor, a Local Binary Patterns (LBP) descriptor, a Gabor filter, a Histogram of Oriented Gradients (HOG) descri

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Cherrat, El mehdi, Rachid Alaoui, and Hassane Bouzahir. "A multimodal biometric identification system based on cascade advanced of fingerprint, fingervein and face images." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (2020): 1562. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1562-1570.

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<p>In this paper, we present a multimodal biometric recognition system that combines fingerprint, fingervein and face images based on cascade advanced and decision level fusion. First, in fingerprint recognition system, the images are enhanced using gabor filter, binarized and passed to thinning method. Then, the minutiae points are extracted to identify that an individual is genuine or impostor. In fingervein recognition system, image processing is required using Linear Regression Line, Canny and local histogram equalization technique to improve better the quality of images. Next, the f

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El, mehdi Cherrat, Alaoui Rachid, and Bouzahir Hassane. "A multimodal biometric identification system based on cascade advanced of fingerprint, fingervein and face images." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 3 (2020): 1562–70. https://doi.org/10.11591/ijeecs.v18.i1.pp1562-1570.

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In this paper, we present a multimodal biometric recognition system that combines fingerprint, fingervein and face images based on cascade advanced and decision level fusion. First, in fingerprint recognition system, the images are enhanced using gabor filter, binarized and passed to thinning method. Then, the minutiae points are extracted to identify that an individual is genuine or impostor. In fingervein recognition system, image processing is required using Linear Regression Line, Canny and local histogram equalization technique to improve better the quality of images. Next, the features a

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Erandika, D. D. H., and U. A. Piumi Ishanka. "Breast Cancer Detection using Image Processing and Machine Learning: A Comprehensive Review and Improved Segmentation Approach." Sabaragamuwa University Journal 19, no. 2 (2023): 27–45. http://dx.doi.org/10.4038/suslj.v19i2.7791.

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Breast cancer stands as one of the most prevalent health concerns for women. Early detection of breast cancer can significantly improve the chances of survival. In developed countries, more than 19.9% of women will die per year due to breast cancer. Regular breast cancer screening is an important way to detect cancer early. Image processing techniques are highly used for different types of cancer detection applications with medical screening. Segmentation of the breast tumor region is a critical step in image processing related to this manner. Lots of research work can be found on developing w

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Vemuru, Krishnamurthy V. "Image Edge Detector with Gabor Type Filters Using a Spiking Neural Network of Biologically Inspired Neurons." Algorithms 13, no. 7 (2020): 165. http://dx.doi.org/10.3390/a13070165.

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We report the design of a Spiking Neural Network (SNN) edge detector with biologically inspired neurons that has a conceptual similarity with both Hodgkin-Huxley (HH) model neurons and Leaky Integrate-and-Fire (LIF) neurons. The computation of the membrane potential, which is used to determine the occurrence or absence of spike events, at each time step, is carried out by using the analytical solution to a simplified version of the HH neuron model. We find that the SNN based edge detector detects more edge pixels in images than those obtained by a Sobel edge detector. We designed a pipeline fo

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Mapoka, Trust Tshepo, Clopas Kwenda, and Wilson Bakasa. "A Random Forest and Edge Vector Ensemble Model for Segmenting Aerial Satellite Forest Images." Advances in Artificial Intelligence and Machine Learning 04, no. 04 (2024): 3135–60. https://doi.org/10.54364/aaiml.2024.44180.

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The attribute of image segmentation significantly impacts the validity of the resulting classification, making it an essential step in the image classification process. Present segmentation methods cannot produce a feature set that yields a segmented image of good quality. This work creates a method that yields a set of believable attributes and produces segmented images of excellent quality. The authors aim to create a novel machine-learning model to enhance the image segmentation quality of aerial satellite images using metrics such as Intersection Over Union (IoU), Receiver Operating charac

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B., B., and A. Mohanarathinam. "Deep Spectral Convolution Neural Network Based Leukemia Cancer Detection Using Invariant Entity Scalar Feature Selection." Journal of Cybersecurity and Information Management 14, no. 2 (2024): 33–52. http://dx.doi.org/10.54216/jcim.140203.

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Leukemia, a cancer that attacks human white blood cells, is one of the deadliest illnesses. Detecting affected cells in microscopic images becomes tedious because feature variants are not predicted correctly by a hematologist. Therefore image handling techniques failed to select the importance of the features scaling counts, entities, and precise size and shape of cells presented in the microscopic image. To resolve this problem, Deep Spectral Convolution Neural Network (DSCNN) based on Leukemia cancer detection using Invariant Entity Scalar Feature Selection (IESFS) is proposed to identify th

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Yang, Jian Guo, Bei Zhi Li, and Hua Jiang Chen. "Adaptive Edge Detection Method for Image Polluted Using Canny Operator and Otsu Threshold Selection." Advanced Materials Research 301-303 (July 2011): 797–804. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.797.

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In this paper, an adaptive edge detection method (Canny operator and Otsu threshold selection based adaptive edge detection method - COAED) is proposed. The COAED method combines a new hybrid filter with Canny operator to avoid the conflict of Canny operator between noise removing and edge locating, and uses Otsu threshold selection method to determine Dual-threshold of Canny operator adaptively. The new hybrid filter firstly judges whether the pixel is polluted by impulse noise, and then uses a corresponding filter to process the current pixel. A median filter is used if the pixel is thought

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Fendriani, Yoza, Regita Kharisma, and Mardian Peslinof. "ANALISIS PERBANDINGAN VARIASI FILTER PADA DETEKSI TEPI MENGGUNAKAN METODE CANNY TERHADAP CITRA CT-SCAN KANKER PARU-PARU." JOURNAL ONLINE OF PHYSICS 8, no. 2 (2023): 77–81. http://dx.doi.org/10.22437/jop.v8i2.24451.

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Telah dilakukan penelitian deteksi tepi citra CT-Scan kanker paru-paru metode Canny menggunakan beberapa filter yaitu mean, median, dan Gaussian filter. Deteksi tepi ini bertujuan untuk mengetahui batasan dari kanker serta mengetahui filter terbaik dalam deteksi tepi metode Canny berdasarkan nilai Mean Square Error (MSE) dan Peak Signal Noise to Ratio (PSNR). Berdasarkan beberapa penelitian metode Canny adalah metode yang sangat baik dalam deteksi tepi citra karena menghasilkan bentuk tepi citra yang terlihat jelas, tetapi namun kualitas citra masih kurang baik karena banyaknya noise. Noise ad

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Wu, Hao, Xiangrong Xu, Jinbao Chu, Li Duan, and Paul Siebert. "Particle swarm optimization-based optimal real Gabor filter for surface inspection." Assembly Automation 39, no. 5 (2019): 963–72. http://dx.doi.org/10.1108/aa-04-2018-060.

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Purpose The traditional methods have difficulty to inspection various types of copper strips defects as inclusions, pits and delamination defects under uneven illumination. Therefore, this paper aims to propose an optimal real Gabor filter model for inspection; however, improper selection of Gabor parameters will cause the boundary between the defect and the background image to be not very clear. This will make the defect and the background cannot be completely separated. Design/methodology/approach The authors proposed an optimal Real Gabor filter model for inspection of copper surface defect

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Chen, Xue Fang, Hao Bing Guan, Ji Nan Gu, and Qian Wu. "A Study and Improvements on Canny Algorithm." Advanced Engineering Forum 6-7 (September 2012): 205–9. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.205.

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This paper studies principle of the traditional Canny edge detection algorithm and the existing problems. Some solutions toward the problems are also proposed. The improvement methods consisted of two parts. On the one hand, as Canny edge algorithm itself does not have strong noise immunity while ensuring edge positioning accuracy, an adaptive median filter denoising program based on the Canny Gaussian filter is proposed to enhance the Canny algorithm filter performance. On the other hand, given the Canny algorithm high and low threshold parameter is not determined by the feature information o

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Nazarkevych, Mariya, Yaroslav Voznyi, and Sergiy Dmytryk. "WAVELET TRANSFORMATION ATEB-GABOR FILTERS TO BIOMETRIC IMAGES." Cybersecurity: Education, Science, Technique 3, no. 7 (2020): 115–30. http://dx.doi.org/10.28925/2663-4023.2020.7.115130.

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Biometric images were pre-processed and filtered in two ways, by wavelet- Gabor and wavelet Ateb-gabor filtration. Ateb-based Gabor filter is effective for filtration because it contains generalizations of trigonometric functions. The wavelet transform of Ateb-Gabor function was developed. The function dependence on seven parameters was shown, each of them significantly changes the filtering results of biometric images. The Ateb-Gabor wavelet research was performed. Graphic dependencies of the wavelet Gabor filter and the wavelet Ateb-Gabor filter were constructed. The appliance of wavelet tra

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Nazarkevych, Mariya, Yaroslav Voznyi, and Hanna Nazarkevych. "DEVELOPMENT OF MACHINE LEARNING METHOD WITH BIOMETRIC PROTECTION WITH NEW FILTRATION METHODS." Cybersecurity: Education, Science, Technique 3, no. 11 (2021): 16–30. http://dx.doi.org/10.28925/2663-4023.2021.11.1630.

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Biometric images were processed and filtered by a newly developed Ateb-Gabor wavelet filter. Identification of biometric images was performed by machine learning methods. The Gabor filter based on Ateb functions is effective for filtering because it contains generalizations of trigonometric functions. Developed wavelet transform of Ateb-Gabor function. It is shown that the function depends on seven parameters, each of which makes significant changes in the results of filtering biometric images. A study of the wavelet Ateb-Gabor function was performed. The graphical dependences of the Gabor fil

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Nofa, Widya Khafa, and Dewi Anggraini Puspa Hapsari. "Perbandingan Filter Shen-Castan, Canny-Deriche dan Madenda untuk Citra Digital dengan Gangguan Blur." ICIT Journal 7, no. 1 (2021): 110. http://dx.doi.org/10.33050/icit.v7i1.1451.

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Dengan adanya gangguan noise, dapat mengakibatkan informasi dalam suatu citra menjadi tidak jelas. Selain itu jika noise muncul pada area tepian objek dapat mengakibatkan tepian dari objek menjadi buram dan tidak beraturan serta memungkinkan terjadi pergeseran posisi tepi. Sehingga diperlukan penghilangan atau penghalusan noise pada citra digital tersebut. Filter IIR adalah jenis filter yang memiliki sistem feedfoward dan feedback sekaligus. Hal ini berarti hasilkeluaran dari IIR tidak hanya tergantung pada data sesaat dan data sebelumnya tetapi juga tergantung pada hasil perhitungan sebelumny

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Melangi, Sudirman. "Klasifikasi Usia Berdasarkan Citra Wajah Menggunakan Algoritma Artificial Neural Network dan Gabor Filter." Jambura Journal of Electrical and Electronics Engineering 2, no. 2 (2020): 60–67. http://dx.doi.org/10.37905/jjeee.v2i2.6956.

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Pengklasifikasian kelompok usia dibangun berdasarkan ciri-ciri dari fitur wajah. klasifikasi usia berdasarkan citra wajah perlu dilakukan dengan lebih akurat agar dapat berguna dalam sistem pengenalan usia manusia. Beberapa kesulitan dalam pengenalan wajah yang sering muncul karena variabilitas wajah seperti ekspresi, penuaan, variasi kumis dan sebagainya. Metode filter gabor dikenal sebagai detektor ciri yang sukses serta memiliki kemampuan mengeliminasi parameter variabilitas wajah yang pada metode lainnya sering menggangggu dalam proses pengenalan. Dengan menggunakan metode Gabor filter yan

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Tadic, Vladimir, Tatjana Loncar-Turukalo, Akos Odry, et al. "A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection." Symmetry 13, no. 4 (2021): 678. http://dx.doi.org/10.3390/sym13040678.

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This note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to be a robust text an object detection method in low-quality input images as extensively evaluated in the problem of license plate localization. The extended set of examples confirmed that the fuzzy optimized Gabor filter with adequately fuzzified parameters detected the desired license plate texture components and highly improved the object detection when comp

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Nazarkevych, Mariya, Yaroslav Voznyi, and Oksana Troyan. "GENERALIZING GABOR FILTERS BASED ON ATEB-FUNCTIONS." Cybersecurity: Education Science Technique, no. 4 (2019): 72–84. http://dx.doi.org/10.28925/2663-4023.2019.4.7284.

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Image filtering attempts to achieve greater resolution. There is a large number of filters that allows you to bring images with clear borders. In addition, noise is present when digitizing images. One of the most common types of filtering is the Gabor filter. It allows you to restore the image with the contour allocation at a certain frequency. Its core looks like elements of the Fourier basis, which is multiplied by Gaussian. The widespread use of Gabor filters for filtration is due to the fact that it gives a strong response at those points of the image where there is a component with local

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Tadic, Vladimir, Zoltan Kiraly, Peter Odry, Zeljen Trpovski, and Tatjana Loncar-Turukalo. "Comparison of Gabor Filter Bank and Fuzzified Gabor Filter for License Plate Detection." Acta Polytechnica Hungarica 17, no. 1 (2020): 61–81. http://dx.doi.org/10.12700/aph.17.1.2020.1.4.

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Ghauri, Sajjad Ahmed, Ijaz Mansoor Qureshi, Tanveer Ahmed Cheema, and Aqdas Naveed Malik. "A Novel Modulation Classification Approach Using Gabor Filter Network." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/643671.

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A Gabor filter network based approach is used for feature extraction and classification of digital modulated signals by adaptively tuning the parameters of Gabor filter network. Modulation classification of digitally modulated signals is done under the influence of additive white Gaussian noise (AWGN). The modulations considered for the classification purpose are PSK 2 to 64, FSK 2 to 64, and QAM 4 to 64. The Gabor filter network uses the network structure of two layers; the first layer which is input layer constitutes the adaptive feature extraction part and the second layer constitutes the s

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Javeed.S, Imran, Aanandha Saravanan, and Rajendra Kumar. "Efficient Biometric Recognition Methodology using Guided Filtering and SIFT Feature Matching." International Journal of Engineering & Technology 7, no. 3.1 (2018): 23. http://dx.doi.org/10.14419/ijet.v7i3.1.16789.

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A novel infrared finger vein biometric identification is proposed using Linear Gabor filter with Guidance image and SIFT feature matching. Linear Gabor filter with guidance image is used for extracting finger vein pattern without segmentation processing and also performs well with some poor quality images due to low contrast, illuminance imbalance or noise etc. Firstly, we utilized Guided Linear Gabor filter for ridge detection as simple Linear Gabor filter and also enhance the image by performing edge preserving smoothing operation. Secondly we utilized SIFT feature matching for verification.

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Shams, Haroon, Tariqullah Jan, Amjad Ali Khalil, Naveed Ahmad, Abid Munir, and Ruhul Amin Khalil. "Fingerprint image enhancement using multiple filters." PeerJ Computer Science 9 (January 3, 2023): e1183. http://dx.doi.org/10.7717/peerj-cs.1183.

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Biometrics is the measurement of an individual’s distinctive physical and behavioral characteristics. In comparison to traditional token-based or knowledge-based forms of identification, biometrics such as fingerprints, are more reliable. Fingerprint images recorded digitally can be affected by scanner noise, incorrect finger pressure, condition of the finger’s skin (wet, dry, or abraded), or physical material it is scanned from. Image enhancement algorithms applied to fingerprint images remove noise elements while retaining relevant structures (ridges, valleys) and help in the detection of fi

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Naveena, C., Shreyas Rangappa, and Chethan H. K. "Texture Features in Palmprint Recognition System." International Journal of Natural Computing Research 10, no. 1 (2021): 41–57. http://dx.doi.org/10.4018/ijncr.2021010104.

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This paper describes the algorithm used for personal identification based on features extracted from the palmprint. The local Gabor XOR (LGXP) features is built using Gabor filter with orientation. Initially, the palm print images are preprocessed using median filter. The algorithm is then modified, where features are extracted with different orientations of the Gabor filter called the multiple orientation LGXP (MOLGXP) features. The PCA feature is extracted and fused with MOLGXP and PCA using sum rule.

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Zhang, Yu Jun, Miao Yu, Wan Tong Zhao, and Yang Xu. "Fast Gabor Filterbank and its Application in Fingerprint Texture Analysis." Advanced Materials Research 466-467 (February 2012): 1295–99. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1295.

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Minutiae-based matching is the main method of fingerprint recognition. Anil K. Jain brought forward a method (FingerCode) which use Gabor filter to extract the texture feature of fingerprint and match it. In order to get a faster algorithm of fingerprint identification, the properties of the real part of Gabor filter are analyzed and the Gabor filter algorithm is accelerated in special conditions and is validated by experiment, which decreases the computational complexity from O(n2) to O(n).

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HADI, Anaam Kadhim. "DETECTING THE TEXTURE FOR MOBILE IMAGE BY USING PROPOSED TECHNIQUE." MINAR International Journal of Applied Sciences and Technology 03, no. 03 (2021): 123–29. http://dx.doi.org/10.47832/2717-8234.3-3.15.

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In this proposed search, a new technique was applied as an attempt to detect texture and the edges of a test image for mobile, lines drawn on a draft paper. Then was applied traditional spatial filters such as Sobel and Canny, comparison between them, and proposed method to detect the line edge and texture for the same image were applied. The results were that the detection method using the Canny filter showed more visual information and better accuracy than the Sobel spatial filter method, and when using the proposed technique, it gaves more information about the texture of the paper and more

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Noh, Junaidi, and Mustamin Hamid. "Penerapan Filter Gabor dan Backpropagasi untuk Pengenalan Batik Tubo." JURNAL SAINS, SOSIAL DAN HUMANIORA (JSSH) 2, no. 1 (2022): 25–30. http://dx.doi.org/10.52046/jssh.v2i2.1137.

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Paper ini mendiskusikan tentang penerapan metode filter gabor dan algoritma backpropagasi dalam pengenalan pola batik tubo kota ternate. Metode filter gabor digunakan untuk melakukan segmentasi gambar dan menampilkan pola dari batik tubo sedangkan algoritma backpropagasi digunakan membuat pengenalan pada pola batik, Hasil penelitian menunjukkan bahwa penggunaan metode fiter gabor dan algoritma backpropagasi mampu mengenali citra sebagai batik tubo dengan prosesntasi pengenalan mencapai 99 %.

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Mehrotra, R., K. R. Namuduri, and N. Ranganathan. "Gabor filter-based edge detection." Pattern Recognition 25, no. 12 (1992): 1479–94. http://dx.doi.org/10.1016/0031-3203(92)90121-x.

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Liu, Yan Bei, Zhi Tao Xiao, Fang Zhang, and Jun Wu. "Fabric Defect Detection Method Based on Gabor Filters." Advanced Materials Research 301-303 (July 2011): 229–34. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.229.

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In this paper, a fabric defect detection method based on Gabor filter bank is present. In this method, the parameters of Gabor filter bank depend on the fabric texture feature. Using the Gabor filter bank with multi-frequency and multi-orientation, a textile image produces multi-image. Then, the images are reconstructed into one image for detecting defects. It is illustrated that most kinds of defects are correctly detected and segmented. The experimental results show that the algorithm is robust and has good detection effect.

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MINARNO, AGUS EKO, MOCHAMMAD HAZMI COKRO MANDIRI, and MUHAMMAD RIFAL ALFARIZY. "Klasifikasi COVID-19 menggunakan Filter Gabor dan CNN dengan Hyperparameter Tuning." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 9, no. 3 (2021): 493. http://dx.doi.org/10.26760/elkomika.v9i3.493.

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ABSTRAKPenyakit COVID-19 dapat timbul karena berbagai faktor sebab dan akibat, sehingga penyakit ini memiliki efek buruk bagi penderita. Pencitraan CT-Scan memiliki keunggulan dalam memproyeksikan kondisi paru-paru pasien penderita, sehingga dapat membantu dalam mendeteksi tingkat keparahan penyakit. Dalam studi ini, penelitian dilakukan untuk mendeteksi penyakit COVID-19 melalui citra CT-Scan menggunakan metode Filter Gabor dan Convolutional Neural Networks (CNN) dengan Hyperparameter Tuning. Data yang digunakan yaitu citra CT-Scan SARSCoV-2 berjumlah 2481 gambar. Sebelum melatih model, dilak

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Yang, Chang Niu, and Xing Bo Sun. "Research on Broken Filament Detection Method of Silk Product." Applied Mechanics and Materials 716-717 (December 2014): 848–50. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.848.

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In this paper, we put forward a kind of adaptive edge detection algorithm of Gabor filter for silk product broken filament image. Use different directions’ Gabor filter to respectively get the broken filament image edge information. Using the method proposed in this paper to fuse the edges adaptively obtained from different directions Gabor filter, we obtain ideal image edges, and effectively eliminate the noise, also enhance the fuzzy edges at the same time. Experimental results show that the algorithm for silk products processing is effective, and the broken filament detected is clear.

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Huang, Ying, Qi Pan, Qi Liu, Xin Peng He, Yun Feng Liu, and Yong Quan Yu. "Application of Improved Canny Algorithm on the IC Chip pin Inspection." Advanced Materials Research 317-319 (August 2011): 854–58. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.854.

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Machine vision is widely used in chip pin automation detection of defects, the accuracy of image edge extraction for detection result has very big effect. Canny edge detection algorithm is a kind of edge detection algorithm which have good comprehensive evaluation, but the Gaussian filter algorithm it used may cause image too smooth and fuzzy of the edge, and it is very sensitive for impulse noise. This paper discusses the improved methods of Canny, proposes an improved switch median filter algorithm, which is applied into Canny algorithm, makes the edge of IC Chip pin more complete and remove

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Ding, Shu Min, Chun Lei Li, and Zhou Feng Liu. "Fabric Defect Detection Scheme Based on Gabor Filter and PCA." Advanced Materials Research 482-484 (February 2012): 159–63. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.159.

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Gabor feature is one of the features which have been used for texture classification. In this paper, we propose a novel fabric detect detection scheme based on Gabor filter and PCA. The fabric image is split into image blocks, and then different Gabor filter banks are applied into each image blocks. A feature vector is generated by concatenating all the Gabor features with different directions and scales for each image block. Principal component analysis (PCA) is adopted to reduce the dimension of the Gabor feature vector. In the end, SVM can classify each image block as non-defective and defe

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AMIN, M. ASHRAFUL, and HONG YAN. "AN EMPIRICAL STUDY ON THE CHARACTERISTICS OF GABOR REPRESENTATIONS FOR FACE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 03 (2009): 401–31. http://dx.doi.org/10.1142/s0218001409007181.

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This paper examines the classification capability of different Gabor representations for human face recognition. Usually, Gabor filter responses for eight orientations and five scales for each orientation are calculated and all 40 basic feature vectors are concatenated to assemble the Gabor feature vector. This work explores 70 different Gabor feature vector extraction techniques for face recognition. The main goal is to determine the characteristics of the 40 basic Gabor feature vectors and to devise a faster Gabor feature extraction method. Among all the 40 basic Gabor feature representation

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Fan, Di, Chang Zhi Lv, and Mao Yong Cao. "Evaluation of Gabor Transform Filter Threshold Identified by Initial Highest Inter-Cluster Distance Probability." Advanced Materials Research 204-210 (February 2011): 1166–69. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1166.

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Gabor transform is very suitable for time-frequency analysis and good for filtering non-stationary signals. The threshold of the Gabor transform filter is a key factor for the filter’s effectiveness. A novel threshold based on initial highest inter-cluster distance probability (IH-ICDP) is described in this paper and it can make the filter more efficient. Some experiments have been carried out under several conditions to evaluate the new threshold’s characteristics. The experimental results show that Gabor transform filter with this proposed threshold works better than wavelet transform filter

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S, Britto Ramesh Kumar, and Bhuvaneshwari A. "AN EFFICIENT BRITWARI TECHNIQUE TO ENHANCE CANNY EDGE DETECTION ALGORITHM USING DEEP LEARNING." ICTACT Journal on Soft Computing 12, no. 3 (2022): 2634–39. http://dx.doi.org/10.21917/ijsc.2022.0377.

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Artificial Intelligence edge detection refers to a set of mathematical techniques used to recognize digital image locations. The picture brightness plays a vital role in detecting dissimilarities and making decisions. Edges are the sharp changes in pictures with respect to the brightness and are commonly categorized into a collection of curved line segments. The main focus of this paper is to find sharp corner edges and the false edges present in the MRI images. The canny edge algorithm is a popular method for detecting these types of edges. The traditional canny edge detection technique has v

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Mariya, Nazarkevych, Riznyk Oleg, Samotyy Volodymyr, and Dzelendzyak Ulyana. "DETECTION OF REGULARITIES IN THE PARAMETERS OF THE ATEBGABOR METHOD FOR BIOMETRIC IMAGE FILTRATION." Eastern-European Journal of Enterprise Technologies 1, no. 2 (97) (2019): 57–65. https://doi.org/10.15587/1729-4061.2019.154862.

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The study has developed a new image filtering method based on Ateb-Gabor. The method involves the well-known Gabor filter that helps convert images with clear contours. Therefore, this method is applicable to biometric images where the creation of clear contours is particularly relevant. During Gabor filtration, the image is transformed by multiplying the harmonic function by the Gaussian function. Ateb-functions are a generalization of elementary trigonometry and, accordingly, have greater functionality for known harmonic functions. Ateb-Gabor filtering makes it possible to change the intensi

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Kimura, Fumikazu, Kengo Ohshima, Keiichiro Shirai, Ryo Kanai, Masaki Sonohara, and Keiko Ishii. "Discriminant Analysis Using Gabor Filter Sets for Lobular Endocervical Glandular Hyperplasia: Numerical Interpretation of Nuclear Atypia by Gabor Filter Features." Acta Cytologica 67, no. 5 (2023): 539–49. http://dx.doi.org/10.1159/000533255.

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<b><i>Introduction:</i></b> Lobular endocervical glandular hyperplasia (LEGH) is a benign lesion; however, it is considered to be the origin of gastric-type adenocarcinoma in the uterine cervix, and early diagnosis is important. At Shinshu University Hospital, screening of LEGH cells is based on the difference in color tone of cytoplasmic mucin on Papanicolaou staining and detection of gastric mucin using HIK1083-labeled latex agglutination assay. However, it is sometimes difficult to distinguish LEGH cells with subtle nuclear atypia from endocervical (EC) cells. <b&

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Luharuka, Shubham, Meghana R, Pallavi K J, and Asha S Manek. "Facial Emotion Recognition as Spatial Image using Gabor Filter." Computer Science & Engineering: An International Journal 12, no. 1 (2022): 89–99. http://dx.doi.org/10.5121/cseij.2022.12110.

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The state of mind of a person can be easily understood from the human face. This paper proposes a methodology to recognize facial expression using Gabor filters, ResNet and two other custom models. The image is taken as the input data from the camera. This input can be used to extract information to infer a person's mood. First, we develop an algorithm for detecting image of an individual from entire set of images using Haar Cascade face detection algorithm. Then, we apply Gabor filter for extracting facial features in the spatial domain. Using the Gabor filter can effectively reduce computati

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Lei, Song Ze, and Qiang Zhu. "Human Ear Recognition Using Hybrid Filter and Supervised Locality Preserving Projection." Advanced Materials Research 529 (June 2012): 271–75. http://dx.doi.org/10.4028/www.scientific.net/amr.529.271.

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To solve the difficult problem of human ear recognition caused by variety of ear angle, a novel method which combines hybrid filter with supervised locality preserving projection (SLPP) is proposed. The ear image is firstly filtered by Log-Gabor filter which is constructed with 5 scales and 8 orientations. The important parameters of Log-Gabor filter are selected through experiments. To form effective and discriminative feature too many Log-Gabor coefficients are reduced by discrete cosine transform. Lastly feature is constructed by SLPP to discovery geometrical rules. Experimental results sho

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Tang, Wei, Fangxiu Jia , and Xiaoming Wang. "Image Large Rotation and Scale Estimation Using the Gabor Filter." Electronics 11, no. 21 (2022): 3471. http://dx.doi.org/10.3390/electronics11213471.

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This paper proposes a novel image large rotation and scale estimation method based on the Gabor filter and pulse-coupled neural network (PCNN). First, the Gabor features of the template image and its rotated one are extracted by performing the Gabor filter. Second, we present a modified PCNN model to measure the similarity between the Gabor features of the image and its rotated one. Finally, the rotation angle is calculated by searching the global minimum of the correlation coefficients. Besides rotation estimation, we also propose a scale estimation method based on the max-projection strategy

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Shi, Dong Cheng, Fang Cai, and Xiao Ding Shi. "Facial Expression Recognition Based on Gabor Filter Performance Analysis." Applied Mechanics and Materials 427-429 (September 2013): 1727–30. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1727.

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This paper extracts the Gabor phase feature information to classify facial expression. First, preprocessing the image for obtaining the normalization image of pure expression, Gabor transform has good space-frequency localized and multi-directional selectivity, so uses Gabor filter with five frequencies and eight directions to filter the pure expression image. By changing the filter's center frequency, get the optimal image after filtering, and then extract the phase features, carry on the dimension reduction. Finally, with nearest neighbor classifier to classify, a better experimental result

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Khairunnisa, Khairunnisa, Rismayanti Rismayanti, and Rully Alhari. "ANALISIS IDENTIFIKASI WAJAH MENGGUNAKAN GABOR FILTER DAN SKIN MODEL." JURNAL TEKNOLOGI INFORMASI 2, no. 2 (2019): 150. http://dx.doi.org/10.36294/jurti.v2i2.430.

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Abstract - Identification of faces in digital images is a complex process and requires a combination of various methods. The complexity of facial identification is increasing along with the increasing need for high accuracy of facial images. This research analyzes the combination of Skin Color Model and Gabor Filters in the process of identifying facial identities in digital images. The Skin Color Model method is used to separate the face area from facial images based on skin color values on facial images. The face area is then extracted using Gabor Filter. This research resulted in the highes

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Akbari Sekehravani, Ehsan, Eduard Babulak, and Mehdi Masoodi. "Implementing canny edge detection algorithm for noisy image." Bulletin of Electrical Engineering and Informatics 9, no. 4 (2020): 1404–10. http://dx.doi.org/10.11591/eei.v9i4.1837.

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Edge detection is a significant stage in different image processing operations like pattern recognition, feature extraction, and computer vision. Although the Canny edge detection algorithm exhibits high precision is computationally more complex contrasted to other edge detection methods. Due to the traditional Canny algorithm uses the Gaussian filter, which gives the edge detail represents blurry also its effect in filtering salt-and-pepper noise is not good. In order to resolve this problem, we utilized the median filter to maintain the details of the image and eliminate the noise. This pape

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Ehsan, Akbari Sekehravani, Babulak Eduard, and Masoodi Mehdi. "Implementing canny edge detection algorithm for noisy image." Bulletin of Electrical Engineering and Informatics 9, no. 4 (2020): 1404–10. https://doi.org/10.11591/eei.v9i4.1837.

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Edge detection is a significant stage in different image processing operations like pattern recognition, feature extraction, and computer vision. Although the Canny edge detection algorithm which exhibits high precision is computationally more complex contrasted to other edge detection methods. Due to the traditional Canny algorithm uses the Gaussian filter, which gives the edge detail represents blurry also its effect in filtering salt-and-pepper noise is not good. To resolve this problem, we utilized the median filter to maintain the details of the image and eliminate the noise. This paper p

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