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Journal articles on the topic 'Gabor orientation scale'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Li, Zhi-Ming, Zheng-Hai Huang, and Ting Zhang. "Gabor-scale binary pattern for face recognition." International Journal of Wavelets, Multiresolution and Information Processing 14, no. 05 (2016): 1650035. http://dx.doi.org/10.1142/s0219691316500351.

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In this paper, a novel face descriptor, the Gabor-scale binary pattern (GSBP), is proposed to explore the neighboring relationship in spatial, frequency and orientation domains for the purpose of face recognition. In order to extract the GSBP feature, the Gabor-scale volume and the Gabor-scale vector are introduced by using a group of Gabor wavelet coefficients with a special orientation. Moreover, the Gabor-scale length pattern and the Gabor-scale ratio pattern are proposed. Compared with the existed methods, GSBP utilizes the deep relations between neighboring Gabor subimages instead of dire

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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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Yu, Qing Wen, Hong Wang, Hai Bin Zhao, Chong Liu, and Shi Yu Yan. "A Face Detection Method Based on Log-Gabor Filters." Advanced Materials Research 706-708 (June 2013): 1882–85. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1882.

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This paper introduces an effective face detection method based on log-Gabor filters. First, Information contained in the log-Gabor transformations is analyzed. Next, 5-scale and 8-orientation log-Gabor filters are constructed to extract feature vectors. Then, a three-layer feedforward network is created for feature classification. After training the network, we test 80 samples. From the experimental result, log-Gabor filters based method has comparable detection performance with Gabor filters based method. Therefore, log-Gabor filters can encode the images more efficiently.

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Rimiru, Richard M., Judy Gateri, and Micheal W. Kimwele. "GaborNet: investigating the importance of color space, scale and orientation for image classification." PeerJ Computer Science 8 (February 25, 2022): e890. http://dx.doi.org/10.7717/peerj-cs.890.

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Content-Based Image Retrieval (CBIR) is the cornerstone of today’s image retrieval systems. The most distinctive retrieval approach used, involves the submission of an image-based query whereby the system is used in the extraction of visual characteristics like the shape, color, and texture from the images. Examination of the characteristics is done for ensuring the searching and retrieval of proportional images from the image database. Majority of the datasets utilized for retrieval lean towards to comprise colored images. The colored images are regarded as in RGB (Red, Green, Blue) form. Mos

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Kusban, Muhammad, Aris Budiman, and Bambang Hari Purwoto. "Image enhancement in palmprint recognition: a novel approach for improved biometric authentication." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 1299. http://dx.doi.org/10.11591/ijece.v14i2.pp1299-1307.

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Several researchers have used image enhancement methods to reduce detection errors and increase verification accuracy in palmprint identification. Divergent opinions exist among experts regarding the best method of image filtering to improve image palmprint recognition. Because of the unique characteristics of palmprints and the difficulties in preventing counterfeiting, image-filtering techniques are the subject of this current research. Researchers hope to create the best biometric system possible by utilizing various techniques. These techniques include image enhancement, Gabor orientation

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Kusban, Muhammad, Aris Budiman, and Bambang Hari Purwoto. "Image enhancement in palmprint recognition: a novel approach for improved biometric authentication." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 1299–307. https://doi.org/10.11591/ijece.v14i2.pp1299-1307.

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Several researchers have used image enhancement methods to reduce detection errors and increase verification accuracy in palmprint identification. Divergent opinions exist among experts regarding the best method of image filtering to improve image palmprint recognition. Because of the unique characteristics of palmprints and the difficulties in preventing counterfeiting, image-filtering techniques are the subject of this current research. Researchers hope to create the best biometric system possible by utilizing various techniques. These techniques include image enhancement, Gabor orientation

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Li, Fenlan, and Kexin Xu. "Optimal Gabor Kernel's Scale and orientation selection for face classification." Optics & Laser Technology 39, no. 4 (2007): 852–57. http://dx.doi.org/10.1016/j.optlastec.2006.01.010.

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Li, Jian, Hai Fen Chen, Li Juan Wang, and Cheng Yan Zhang. "Face Recognition Method Based on Multi-Level Histogram Sequence of Gabor Fused Features." Advanced Materials Research 718-720 (July 2013): 2348–52. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2348.

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In this paper, the Gabor fused features are combined with multi-level histogram sequence to extract facial features in order to overcome the disadvantage of traditional Gabor filter bank, whose high-dimensional Gabor features are redundant and the global features representation capacity is poor. First, we get the standard face by face detection, eyes location, geometric normalization and illumination normalization. Second, to extract the multi-orientation information and reduce the dimension of the features, a fusion rule is proposed to fuse the original Gabor features of the same scale into a

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Loxley, P. N. "The Two-Dimensional Gabor Function Adapted to Natural Image Statistics: A Model of Simple-Cell Receptive Fields and Sparse Structure in Images." Neural Computation 29, no. 10 (2017): 2769–99. http://dx.doi.org/10.1162/neco_a_00997.

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The two-dimensional Gabor function is adapted to natural image statistics, leading to a tractable probabilistic generative model that can be used to model simple cell receptive field profiles, or generate basis functions for sparse coding applications. Learning is found to be most pronounced in three Gabor function parameters representing the size and spatial frequency of the two-dimensional Gabor function and characterized by a nonuniform probability distribution with heavy tails. All three parameters are found to be strongly correlated, resulting in a basis of multiscale Gabor functions with

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Baspinar, Emre, Giovanna Citti, and Alessandro Sarti. "A Geometric Model of Multi-scale Orientation Preference Maps via Gabor Functions." Journal of Mathematical Imaging and Vision 60, no. 6 (2018): 900–912. http://dx.doi.org/10.1007/s10851-018-0803-3.

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Li, Xi, Zhangyong Li, Dewei Yang, Lisha Zhong, Lian Huang, and Jinzhao Lin. "Research on Finger Vein Image Segmentation and Blood Sampling Point Location in Automatic Blood Collection." Sensors 21, no. 1 (2020): 132. http://dx.doi.org/10.3390/s21010132.

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In the fingertip blood automatic sampling process, when the blood sampling point in the fingertip venous area, it will greatly increase the amount of bleeding without being squeezed. In order to accurately locate the blood sampling point in the venous area, we propose a new finger vein image segmentation approach basing on Gabor transform and Gaussian mixed model (GMM). Firstly, Gabor filter parameter can be set adaptively according to the differential excitation of image and we use the local binary pattern (LBP) to fuse the same-scale and multi-orientation Gabor features of the image. Then, f

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Zhang, Yanxiang. "Deep Analysis on the Color Language in Film and Television Animation Works via Semantic Segmentation Technique." Scalable Computing: Practice and Experience 26, no. 5 (2025): 1974–84. https://doi.org/10.12694/scpe.v26i5.4847.

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Color functions as a distinct type of ideographic symbol in animation for film and television, playing a crucial role in enhancing visual narratives and conveying emotions. In different types of animation, such as fantasy, horror, or children’s genres, color language influences audience perception and can convey meanings beyond the capabilities of image language alone. For instance, bright colors may symbolize innocence in children’s animation, while darker shades may evoke tension or fear in horror. However, current approaches to representing color in animation often fail to capture its full

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Li Mengwen, 李梦雯, 刘怀愚 Liu Huaiyu, 高向军 Gao Xiangjun та 孟欠欠 Meng Qianqian. "基于多尺度Gabor方向韦伯局部描述子的掌纹识别". Laser & Optoelectronics Progress 58, № 16 (2021): 1610018. http://dx.doi.org/10.3788/lop202158.1610018.

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Yao, Qiong, Chen Chen, Dan Song, Xiang Xu, and Wensheng Li. "A Novel Finger Vein Verification Framework Based on Siamese Network and Gabor Residual Block." Mathematics 11, no. 14 (2023): 3190. http://dx.doi.org/10.3390/math11143190.

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The evolution of deep learning has promoted the performance of finger vein verification systems, but also brings some new issues to be resolved, including high computational burden, massive training sample demand, as well as the adaptability and generalization to various image acquisition equipment, etc. In this paper, we propose a novel and lightweight network architecture for finger vein verification, which was constructed based on a Siamese framework and embedded with a pair of eight-layer tiny ResNets as the backbone branch network. Therefore, it can maintain good verification accuracy und

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Prakash, B. V., and A. Rajiv Kannan. "An Efficient Approach to Detect Meningioma Brain Tumor Using Adaptive Neuro Fuzzy Inference System Method." Journal of Medical Imaging and Health Informatics 12, no. 2 (2022): 123–30. http://dx.doi.org/10.1166/jmihi.2022.3931.

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Detection of tumors in brain on time saves the patient life. The brain tumor detection is usually done in Magnetic Resonance Imaging (MRI) of the human brain. An automated model is framed to identify tumor pixels in method for detecting and image. This proposed method contains the following modules as enhancement, transformation, feature extraction, classifications and segmentation. The Oriented Local Histogram Equalization (OLHE) method is applied on the brain MRI images in order to enhance the pixel intensity in boundary regions. This enhanced brain image is transformed to multi orientation

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Chen, Li, Qing Zhu, Xiao Xie, Han Hu, and Haowei Zeng. "Road Extraction from VHR Remote-Sensing Imagery via Object Segmentation Constrained by Gabor Features." ISPRS International Journal of Geo-Information 7, no. 9 (2018): 362. http://dx.doi.org/10.3390/ijgi7090362.

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Automatic road extraction from remote-sensing imagery plays an important role in many applications. However, accurate and efficient extraction from very high-resolution (VHR) images remains difficult because of, for example, increased data size and superfluous details, the spatial and spectral diversity of road targets, disturbances (e.g., vehicles, shadows of trees, and buildings), the necessity of finding weak road edges while avoiding noise, and the fast-acquisition requirement of road information for crisis response. To solve these difficulties, a two-stage method combining edge informatio

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Leonardo, Leonardo. "Penerapan Metode Filter Gabor Untuk Analisis Fitur Tekstur Citra Pada Kain Songket." Jurnal Sistem Komputer dan Informatika (JSON) 1, no. 2 (2020): 120. http://dx.doi.org/10.30865/json.v1i2.1942.

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Songket is a traditional Malay and Minangkabau woven fabric in Indonesia, Malaysia and Brunei. Songket is classified in the brocade woven family. Songket is hand woven with gold and silver threads generally worn at official occasions. The purpose of this study is to analyze the texture of songket fabric by using gabor filters. The results of the study stated that the texture output that appeared was strongly influenced by the magnitude of the frequency parameter values and the orientation of the image degrees. The greater the frequency value given, the results of the test use look brighter and

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Willmore, Ben, Ryan J. Prenger, Michael C. K. Wu, and Jack L. Gallant. "The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform." Neural Computation 20, no. 6 (2008): 1537–64. http://dx.doi.org/10.1162/neco.2007.05-07-513.

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We describe the Berkeley wavelet transform (BWT), a two-dimensional triadic wavelet transform. The BWT comprises four pairs of mother wavelets at four orientations. Within each pair, one wavelet has odd symmetry, and the other has even symmetry. By translation and scaling of the whole set (plus a single constant term), the wavelets form a complete, orthonormal basis in two dimensions. The BWT shares many characteristics with the receptive fields of neurons in mammalian primary visual cortex (V1). Like these receptive fields, BWT wavelets are localized in space, tuned in spatial frequency and o

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Ayad, Hayder, Siti Norul Huda Sheikh Abdullah, and Azizi Abdullah. "Visual Object Categorization based on Gabor Filter Generalization Via K-Means Clustering." International Journal of Engineering & Technology 8, no. 1.2 (2019): 168–93. http://dx.doi.org/10.14419/ijet.v8i1.2.24900.

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Content based object recognition systems need informative image properties to obtain good performance results. Filter bank such as Gabor filters is believed to be one of the most popular methods for complete characterization of images by having some important properties such as selectivity to orientation, scale, frequency and smooth parameters. Furthermore, such properties are very effective for compact image description and analysis. However, these functions show a strong dependence on a certain number of different parameter values. Hence, the different filter parameters values used to constr

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Radouane, Mohamed, Nadia Idrissi Zouggari, Amine Amraoui, and Mounir Amraoui. "Fusion of Gabor filter and steerable pyramid to improve iris recognition system." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1460. http://dx.doi.org/10.11591/ijai.v11.i4.pp1460-1468.

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<span>Iris recognition system is a technique of identifying people using their distinctive features. Generally, this technique is used in security, because it offers a good reliability. Different researchers have proposed new methods for iris recognition system to increase its effectiveness. In this paper, we propose a new method for iris recognition based on Gabor filter and steerable pyramid decomposition. It’s an efficient and accurate linear multi-scale, multi-orientation image decomposition to capture texture details of an image. At first, the iris image is segmented, normalized and

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Yao, Qiong, Dan Song, Xiang Xu, and Kun Zou. "Visual Feature-Guided Diamond Convolutional Network for Finger Vein Recognition." Sensors 24, no. 18 (2024): 6097. http://dx.doi.org/10.3390/s24186097.

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Finger vein (FV) biometrics have garnered considerable attention due to their inherent non-contact nature and high security, exhibiting tremendous potential in identity authentication and beyond. Nevertheless, challenges pertaining to the scarcity of training data and inconsistent image quality continue to impede the effectiveness of finger vein recognition (FVR) systems. To tackle these challenges, we introduce the visual feature-guided diamond convolutional network (dubbed `VF-DCN’), a uniquely configured multi-scale and multi-orientation convolutional neural network. The VF-DCN showcases th

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Xie, Zhihua, Weigang Zhang, Lina Wang, Jianyong Zhou, and Zhiwei Li. "Optical and SAR Image Registration Based on the Phase Congruency Framework." Applied Sciences 13, no. 10 (2023): 5887. http://dx.doi.org/10.3390/app13105887.

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The improved phase congruency (PC) algorithms have been successfully applied to optical and synthetic aperture radar (SAR) image registration since they are insensitive to nonlinear radiometric and geometric differences. However, most of the algorithms are sensitive to large-scale differences and rotation differences between optical and SAR images. To tackle this, we propose a PC framework to register optical and SAR images. It is compatible with large-scale and rotation invariance. Firstly, a multi-scale Harris keypoint extraction method based on the maximum moment of PC (named PC-Harris) is

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Landraud-Lamole, Anne M. "Principle of a Parallel Vision System Adapted to Textures." International Journal of Pattern Recognition and Artificial Intelligence 12, no. 03 (1998): 355–78. http://dx.doi.org/10.1142/s0218001498000233.

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A number of methods for classifying textures and for segmentation of textured images make use of multichannel filtering techniques because of their computational simplicity. On the other hand, biological experiments have shown the existence and the properties of visual channels and make it possible for us to select the "best" filter bank. In a performing artificial vision system, three important problems are to be solved: the rigorous sampling of the spatial frequencies, the scale related problem and parallel processing. This paper presents a mathematical solution to the logarithmic 1-D sampli

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Moorthy, C., and K. R. Aravind Britto. "An Efficient Framework for the Segmentation of Glioma Brain Tumor Using Image Fusion and Co-Active Adaptive Neuro Fuzzy Inference System Classification Method." Journal of Medical Imaging and Health Informatics 11, no. 12 (2021): 3133–40. http://dx.doi.org/10.1166/jmihi.2021.3915.

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The image segmentation of any irregular pixels in Glioma brain image can be considered as difficult. There is a smaller difference between the pixel intensity of both tumor and non-tumor images. The proposed method stated that Glioma brain tumor is detected in brain MRI image by utilizing image fusion based Co-Active Adaptive Neuro Fuzzy Inference System (CANFIS) categorization technique. The low resolution brain image pixels are improved by contrast through image fusion method. This paper uses two different wavelet transforms such as, Discrete and Stationary for fusing two brain images for en

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Chen, Guang, Hai Gang Sui, Liang Dong, and Hua Sun. "Semi-Automatic Extraction Method for Low Contrast Road Based on Gabor Filter and Simulated Annealing." Advanced Materials Research 989-994 (July 2014): 3644–48. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3644.

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High-resolution satellite remote sensing image are mostly used for accurate updating of GIS data. As the primary GIS data, urban roads on the image show the rich geometric features and radiation characteristics, that edge detection and grouping becoming an important way to solve the road extraction. However, edge elements obtained from images are always discontinuous for interference of noise and weak contrast between road and background. What more, vehicles, plant, buildings and shadow blocking results in weak grouping relation of elements. In processing, insignificant candidate road may be w

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Seyedhosseini, Mojtaba, S. Shushruth, Tyler Davis, et al. "Informative features of local field potential signals in primary visual cortex during natural image stimulation." Journal of Neurophysiology 113, no. 5 (2015): 1520–32. http://dx.doi.org/10.1152/jn.00278.2014.

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The local field potential (LFP) is of growing importance in neurophysiology as a metric of network activity and as a readout signal for use in brain-machine interfaces. However, there are uncertainties regarding the kind and visual field extent of information carried by LFP signals, as well as the specific features of the LFP signal conveying such information, especially under naturalistic conditions. To address these questions, we recorded LFP responses to natural images in V1 of awake and anesthetized macaques using Utah multielectrode arrays. First, we have shown that it is possible to iden

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Bassel, A. El-Azab. "Detection and Classification of Weft Knitted Fabrics Defects Using Gabor Wavelet." International Journal of Advances in Scientific Research and Engineering (ijasre) 6, no. 2 (2020): 85–96. https://doi.org/10.31695/IJASRE.2020.33718.

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<em>The globalization of competition, the complexity of the economy and the plethora of information available today place companies in a more than shifting context with which they must cope. Accelerating change becomes a constant feature of business life. Companies need methodological help to process a lot of information, In today's competitive world, customers are demanding better quality products with fast and reliable deliveries. To meet this demand, new manufacturing technologies are developing rapidly, resulting in new products and improvements in manufacturing processes.</em> <em>Tod

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Zhi-Yong Tao, Zhi-Yong Tao, Meng Wang Zhi-Yong Tao, Xin-Ru Zhou Meng Wang, Jie Li Xin-Ru Zhou, and Sen Lin Jie Li. "FFV-MBC: A Novel Fused Finger-Vein Recognition Method Based on Monogenic Binary Coding." 電腦學刊 34, no. 1 (2023): 013–27. http://dx.doi.org/10.53106/199115992023023401002.

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<p>To improve pattern representation capabilities and robustness in traditional finger-vein recognition algorithms. In this paper, we propose FFV-MBC, a novel fused finger-vein recognition method based on monogenic binary coding (MBC). First of all, the amplitude, orientation, and phase information of the finger-vein images are filtered by a multi-scale monogenic log-Gabor filter and encoded by the binary coding theory. Three local features, MBC-A, MBC-P, and MBC-O, are achieved from different combinations of local image intensity and variation coding. After obtaining the features, we ut

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Liu, Ruoyang, Wenquan Zhu, and Xinyi Yang. "Screening Image Features of Collapsed Buildings for Operational and Rapid Remote Sensing Identification." Remote Sensing 15, no. 24 (2023): 5747. http://dx.doi.org/10.3390/rs15245747.

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The accurate detection of collapsed buildings is of great significance for post-disaster rescue and reconstruction. High-resolution optical images are important data sources for identifying collapsed buildings, and the identification accuracy mainly depends on the features extracted from the images. However, existing research lacks a comprehensive screening and general evaluation of the ability of remote sensing features to detect collapsed buildings, and there is still a considerable gap in the operational process of rapid identification of collapsed buildings in remote sensing. Based on 2630

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Suresh Kumar, R., and A. R. Mahesh Balaji. "Land use land cover classification using local multiple pattern from very high resolution satellite imagery." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 971–76. http://dx.doi.org/10.5194/isprsarchives-xl-8-971-2014.

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The recent development in satellite sensors provide images with very high spatial resolution that aids detailed mapping of Land Use Land Cover (LULC). But the heterogeneity in the landscapes often results in spectral variation within the same and spectral confusion among different LU/LC classes at finer spatial resolution. This leads to poor classification performances based on traditional spectral-based classification. Many studies have been addressed to improve this classification by incorporating texture information with multispectral images. Although different methods are available to extr

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Wang, Qing Wei, and Zi Lu Ying. "Facial Expression Recognition Algorithm Based on Gabor Texture Features and Adaboost Feature Selection via Sparse Representation." Applied Mechanics and Materials 511-512 (February 2014): 433–36. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.433.

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This paper proposed a new facial expression recognition algorithm based on gabor texture features and Adaboost feature selection via SRC(sparse representation classification). Five scales and eight orientations of Gabor wavelet filters were used in this paper to extract gabor features. For an image of size , the number of gabor features is 163840, In order to extract the most effective features for FER(facial expression recognition), Adaboost algorithm is used for feature selection. This paper divided 7 facial expressions into two categories, where the neutral expression as the first class and

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MU, MEIRU, and QIUQI RUAN. "MEAN AND STANDARD DEVIATION AS FEATURES FOR PALMPRINT RECOGNITION BASED ON GABOR FILTERS." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 04 (2011): 491–512. http://dx.doi.org/10.1142/s0218001411008750.

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The two-dimensional (2D) Gabor function has been recognized as a very useful tool in feature extraction of image, due to its optimal localization properties in both spatial and frequency domain. This paper presents a novel palmprint feature extraction method based on the statistics of decomposition coefficients of the Gabor wavelet transform. It is experimentally found that the magnitude coefficients of the Gabor wavelet transform within each subband uniformly to approximate the Lognormal distribution. Based on this fact, we create the palmprint representation using two simple statistics (mean

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Galvis, Laura Viviana, Reinel Corzo Rueda, and Henry Arguello. "Caving Depth Classification by Feature Extraction in Cuttings Images." Earth Sciences Research Journal 18, no. 2 (2015): 157–63. http://dx.doi.org/10.15446/esrj.v18n2.39716.

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<p>The estimation of caving depth is of particular interest in the oil industry. During the drilling process, the rock classification problem is studied to analyze the concentration of cuttings at the vibrating shale shakers through the classification of caving images. To date, depth estimation based on caving rock images has not been treated in the literature. This paper presents a new depth caving estimation system based on the classification of caving images through feature extraction. To extract the texture descriptors, the cutting images are first mapped on a common space where they

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Li, Bin, Kaili Cheng, and Zhezhou Yu. "Histogram of Oriented Gradient Based Gist Feature for Building Recognition." Computational Intelligence and Neuroscience 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6749325.

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We proposed a new method of gist feature extraction for building recognition and named the feature extracted by this method as the histogram of oriented gradient based gist (HOG-gist). The proposed method individually computes the normalized histograms of multiorientation gradients for the same image with four different scales. The traditional approach uses the Gabor filters with four angles and four different scales to extract orientation gist feature vectors from an image. Our method, in contrast, uses the normalized histogram of oriented gradient as orientation gist feature vectors of the s

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Li, Li Sai, Zi Lu Ying, and Bin Bin Huang. "Facial Expression Recognition Based on Gabor Texture Features and Centre Binary Pattern." Applied Mechanics and Materials 742 (March 2015): 257–60. http://dx.doi.org/10.4028/www.scientific.net/amm.742.257.

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This paper was proposed a new algorithm for Facial Expression Recognition (FER) which was based on fusion of gabor texture features and Centre Binary Pattern (CBP). Firstly, gabor texture feature were extracted from every expression image. Five scales and eight orientations of gabor wavelet filters were used to extract gabor texture features. Then the CBP features were extracted from gabor feature images and adaboost algorithm was used to select final features from CBP feature images. Finally, we obtain expression recognition results on the final expression features by Sparse Representation-ba

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Wenger, Michael, Stephanie Rhoten, Lisa De Stefano, Amy Barnett, and Laili Boozary. "Your Brain Knows if You're Iron Deficient: Distinct Brain Dynamics in Iron Deficient vs. Sufficient Females in a Visual Category Learning Task." Current Developments in Nutrition 5, Supplement_2 (2021): 929. http://dx.doi.org/10.1093/cdn/nzab049_042.

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Abstract Objectives The present study sought to determine the possibility of identifying someone as either iron deficient or sufficient based solely on brain activity, and, if possible, how quickly (based on processing time on a cognitive task) this could be done. Methods Both iron sufficient(IS) and iron deficient non-anemic (IDNA) females (mean age 21.1 y) learned two visual categorization tasks while concurrent EEG was acquired. Both tasks involved classifying gray-scale gabor patches on the basis of spatial frequency and orientation; one task used an easily-verbalized rule (rule-based, RB)

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Lei, Song Ze, and Qiang Zhu. "Human Ear Recognition Based on Phase Congruency and Kernel Discriminant Analysis." Applied Mechanics and Materials 241-244 (December 2012): 1614–17. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1614.

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To solve the multi-pose ear recognition problem under the different illumination condition, a novel method which combines phase congruency with kernel discriminant analysis (KDA) is proposed. The phase congruency of ear image is first calculated using Log-Gabor filter with 5 scales and 8 orientations, and then the phase congruency of different orientation is constructed as high dimensional vector including ample information. The high dimensional vector is mapped to kernel space to acquire discriminant feature. Experimental results show that the proposed method obtains higher recognition rate c

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Gao, Xiaojing, Heru Xue, Xin Pan, Xinhua Jiang, Yanqing Zhou, and Xiaoling Luo. "Somatic Cells Recognition by Application of Gabor Feature-Based (2D)2PCA." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 12 (2017): 1757009. http://dx.doi.org/10.1142/s0218001417570099.

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In this paper, we propose a novel approach of Gabor feature based on bi-directional two-dimensional principal component analysis ((2D)2PCA) for somatic cells recognition. Firstly, Gabor features of different orientations and scales are extracted by the convolution of Gabor filter bank. Secondly, dimensionality reduction of the feature space applies (2D)2PCA in both row and column. Finally, the classifier uses Support Vector Machine (SVM) to achieve our goal. The experimental results are obtained using a large set of images from different sources. The results of our proposed method are not only

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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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Li, Liangliang, Hongbing Ma, Xueyu Zhang, Xiaobin Zhao, Ming Lv, and Zhenhong Jia. "Synthetic Aperture Radar Image Change Detection Based on Principal Component Analysis and Two-Level Clustering." Remote Sensing 16, no. 11 (2024): 1861. http://dx.doi.org/10.3390/rs16111861.

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Synthetic aperture radar (SAR) change detection provides a powerful tool for continuous, reliable, and objective observation of the Earth, supporting a wide range of applications that require regular monitoring and assessment of changes in the natural and built environment. In this paper, we introduce a novel SAR image change detection method based on principal component analysis and two-level clustering. First, two difference images of the log-ratio and mean-ratio operators are computed, then the principal component analysis fusion model is used to fuse the two difference images, and a new di

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Moyya, Priscilla Dinkar, and Mythili Asaithambi. "Quantitative Analysis of Breast Cancer NACT Response on DCE-MRI Using Gabor Filter Derived Radiomic Features." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 12 (2022): 106–22. http://dx.doi.org/10.3991/ijoe.v18i12.32501.

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In this work, an attempt has been made to quantify the treatment response due to Neoadjuvant Chemotherapy (NACT) on the publicly available QIN-Breast of TCIA database (N = 25) using Gabor filter derived radiomic features. The Gabor filter bank is constructed using 5 different scales and 7 different orientations. Different radiomic features were extracted from Gabor filtered Dynamic Contrast Enhanced Magnetic Resonance images (DCE-MRI) of patients having 3 different visits (Visit 1: before, Visit 2: after 1st cycle, and Visit 3: the last cycle of NACT). The extracted radiomic features were anal

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Wang, Shu Yi, Jing Ling Wang, and Chuan Zhen Li. "Facial Expression Recognition Based on Multi-Channel Fusion of Gabor Features." Applied Mechanics and Materials 427-429 (September 2013): 1963–67. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1963.

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This paper presents a facial expression recognition algorithm based on multi-channel integration of Gabor feature. First, a Gabor wavelet filter extracts facial features with 5 scales and 8 orientations, and then transform the 40 channels into 13 channels according to the maximum rule presented in this paper. Second, we reduce the dimension of expression features by the method of PCA+LDA. At last, expression features are classified using the nearest neighbor method. The experiments involve two databases and show that the proposed algorithm can recognize facial expression in high rate.

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Alaabedi, Yasir A. F. "Gabor wavelet and neural network face detection." BIO Web of Conferences 97 (2024): 00100. http://dx.doi.org/10.1051/bioconf/20249700100.

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One of the most difficult tasks in image processing is facial area detection. This study introduces a new face detection method. To improve detection rates, the system incorporates two facial detection algorithms. Gabor wavelets and neural networks are the two algorithms. Convolutional face images undergo initial transformation using Gabor wavelets, with 8 orientations and 5 scales chosen to extract the grey characteristics of the facial region. When added to the original photos, these 40 Gabor wavelets reveal the full extent of the response. We use a second feedforward neural network specific

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Gnanaprakash V, Et al. "Novel MobileNet based Multipath Convolutional Neural Network for defect detection in fabrics." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2417–23. http://dx.doi.org/10.17762/ijritcc.v11i9.9308.

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Automatic fabric defect detection and classification is the most important process in the textile industry to ensure the fabric quality. In the existing systems, a learning based method is used for detecting defects in plain weave fabrics. In this paper, a novel MobileNet based Multipath Convolutional Neural Network (MMPCNN) architecture is proposed for detection and classification of simple and complex patterned fabric defects. In the proposed MMPCNN architecture, MobileNet model is used in the first path. In this, Gabor filter bank is used instead of conventional filters in the first convolu

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XU, GANG, HUCHUAN LU, and ZUNYI WANG. "FACE RECOGNITION BASED ON GPPBTF AND LBP WITH CLASSIFIER FUSION." International Journal of Image and Graphics 12, no. 02 (2012): 1250011. http://dx.doi.org/10.1142/s0219467812500118.

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Robust face recognition is a challenging problem, due to facial appearance variations in illumination, pose, expression, aging, partial occlusions and other changes. This paper proposes a novel face recognition approach, where face images are represented by Gabor pixel-pattern-based texture feature (GPPBTF) and local binary pattern (LBP), and null pace-based kernel Fisher discriminant analysis (NKFDA) is applied to the two features independently to obtain two recognition results which are eventually combined together for a final identification. To get GPPBTF, we first transform an image into G

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Qiao, Motong, Wei Wang, and Michael Ng. "Multi-Phase Texture Segmentation Using Gabor Features Histograms Based on Wasserstein Distance." Communications in Computational Physics 15, no. 5 (2014): 1480–500. http://dx.doi.org/10.4208/cicp.061212.111013a.

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AbstractWe present a multi-phase image segmentation method based on the histogram of the Gabor feature space, which consists of a set of Gabor-filter responses with various orientations, scales and frequencies. Our model replaces the error function term in the original fuzzy region competition model with squared 2-Wasserstein distance function, which is a metric to measure the distance of two histograms. The energy functional is minimized by alternative minimization method and the existence of closed-form solutions is guaranteed when the exponent of the fuzzy membership term being 1 or 2. We t

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Yu, Guorong, and Shuangming Zhao. "A New Feature Descriptor for Multimodal Image Registration Using Phase Congruency." Sensors 20, no. 18 (2020): 5105. http://dx.doi.org/10.3390/s20185105.

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Images captured by different sensors with different spectral bands cause non-linear intensity changes between image pairs. Classic feature descriptors cannot handle this problem and are prone to yielding unsatisfactory results. Inspired by the illumination and contrast invariant properties of phase congruency, here, we propose a new descriptor to tackle this problem. The proposed descriptor generation mainly involves three steps. (1) Images are convolved with a bank of log-Gabor filters with different scales and orientations. (2) A window of fixed size is selected and divided into several bloc

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Li, G. X., and Y. F. Li. "Defect Detection Study of Fabric Based on Gabor Filter Algorithm." Materials Science Forum 697-698 (September 2011): 491–94. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.491.

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This thesis exploits a multichannel Gabor filters detection algorithm. Analysis filtering images from different orientations and scales, then fuses the multichannel data. Finally, a threshold iterative algorithm and mathematical morphology post-processing is used to achieve the fabric defect detection. The experiment selects five types of fabric defect image. Experimental results suggest that this algorithm can effectively identify blob-shaped, linear and planar defect and has well real-time character.

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Sun, Ling Jun, Zhi Wei Ji, and Hang Jun Wang. "A New Wood Recognition Method Based on Texture Analysis." Applied Mechanics and Materials 58-60 (June 2011): 613–17. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.613.

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A novel and efficient wood recognition method based on texture analysis is presented in this paper. Firstly, the sample images are divided into several regions after cutting from wood stereogram images. Then, more features are extracted by Gabor Wavelets through five scales and eight orientations. For getting the key points of these Gabor features, clustering and sifting operation are used to dislodge the dimmed features that extracted from the noise regions, such as cleavage region, resin canal region and so on. Finally, the Earth Mover’s Distance is used as the distance measure to compare th

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Yu, Wei Wei. "Face Detection Based on Gabor Wavelet Transform and Statistical Cluster Model." Applied Mechanics and Materials 236-237 (November 2012): 1172–77. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.1172.

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A gray-image face detection algorithm was proposed, in which feature vectors were Gabor wavelet coefficients at 4 scales and 6 orientations. Firstly, feature vectors of training samples and negative samples were separately clustered. Secondly, these clusters were reduced by discriminate analysis. Finally, distribution model of feature vectors was built and average probability was calculated to determine if the testing image was similar to face samples. The experimental results show the algorithm is effective.

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