Results 211 to 220 of about 210,898 (254)
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Steganalysis Based on Co-occurrence Matrix of Differential Image
2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2008A universal steganalysis method is proposed in this paper. The forward difference is calculated in three directions, horizontal, vertical and diagonal, towards adjacent pixels to obtain three-directional differential images for a natural image. Then the differential images are thresholded with a pre-set threshold to remove the redundant information ...
Ziwen Sun, Maomao Hui, Chao Guan
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The co-occurrence matrix in square and hexagonal lattices
7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2004There are many situations where processing of images on alternate lattices can yield positive advantages. One such case is processing of images upon hexagonal lattices where the uniform connectivity can lead to many efficiencies. However, before processing can be evaluated on hexagonal lattices it must be ascertained that fundamental operations can be ...
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Temporal co-occurrence matrix approaches to motion analysis
SPIE Proceedings, 2004We propose a novel method for motion analysis in video sequences. It extends the co-occurrence matrix concept for texture analysis to the temporal domain. The approach proved to be versatile in the sense of targeting different motion analysis tasks.
A. Ukovich +2 more
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Modified Color Co-occurrence Matrix for Image Retrieval
2005Color correlogram for content-based image retrieval (CBIR) characterizes not only the color distribution of pixels, but also the spatial correlation of pairs of colors. Color not only reflects the material of surface, but also varies considerably with the change of illumination, the orientation of the surface, and the viewing geometry of the camera ...
Min Hyuk Chang +4 more
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Co-occurrence matrix features for fingerprint verification
2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification, 2011In this paper, an enhanced image-based fingerprint verification algorithm is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to poor image quality. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point and then extracts a 129 X 129 block ...
Mohammed S. Khalil +2 more
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A parallel architecture for co-occurrence matrix computation
Proceedings of 36th Midwest Symposium on Circuits and Systems, 2002Using the odd-even network topology, a parallel hardware architecture for gray level image co-occurrence matrix computation is designed. The architecture consists of simple, regularly structured processing elements (PE's) operating in parallel. As a result, the proposed design is suitable for VLSI implementation.
S. Khalaf, M. El-Gabali, N. Abdelguerfi
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Combining singular point and co-occurrence matrix for fingerprint classification
Proceedings of the Third Annual ACM Bangalore Conference, 2010Fingerprint classification is an important part of fingerprint identification system that works on large databases to increase its matching speed. In this paper, an automatic fingerprint classification method is proposed to classify the fingerprint images by combining singular points and Gray Level Co-occurrence Matrix (GLCM) features.
C. Zacharias Geevar, P. Sojan Lal
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Robust skin-roughness estimation based on co-occurrence matrix
Journal of Visual Communication and Image Representation, 2017Abstract As the interest in one’s appearance has recently increased, the demand for diagnosing skin conditions has also increased. However, conventional specialized skin diagnostic devices are generally expensive, and people have to visit a skin-care shop to diagnose their skin condition. This is time consuming and troublesome.
Ji-Sang Bae +3 more
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Classification of Crop Lodging with Gray Level Co-occurrence Matrix
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018Lodging in agricultural crops is the permanent displacement of a plant from its upright position [2]. It may be caused by several weather and environmental conditions. Harvesting severely lodged crops may take twice as much time and results in reduced yield. Plant breeders seek to identify and select for lodging-resistant varieties.
Sajith Rajapaksa +10 more
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Dynamic textures indexing using the co-occurrence matrix features
2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2012The area of applications of dynamic texture is very wide: video surveillance, transaction systems, medical application and video synthesis. The paper presents an indexing model in large databases of dynamics texture using the co-occurrence matrix features.
Muguras Mocofan, Radu Vasiu
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