Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Intelligent Image Processing
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Image Processing Handbook, Fourth Edition
Image Processing Handbook, Fourth Edition
Image Processing in Radiology: Current Applications (Medical Radiology / Diagnostic Imaging)
Image Processing in Radiology: Current Applications (Medical Radiology / Diagnostic Imaging)
Visualizing web navigation patterns with factor analysis
AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7
Algorithm based on medium co-occurrence matrix for image region classification
ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Image-based height measuring system
ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Comparative genome sequence analysis by efficient pattern matching technique
WSEAS Transactions on Information Science and Applications
Hi-index | 0.00 |
In this paper a comparative study has been made regarding certain methods of image processing by the texture characteristic, to find the optimum method for detecting color texture. The study is based on the experiments. There are two main points: the quality of the detection and the response time. For the experiments have been used the co-occurrence matrix and the iso-segments matrix of the gray or color levels. These methods are based on processing the image at a pixel level and the making of matrix that contain certain spatial positions of pixels. The resulting matrix was analyzed and, based on the existing information, the characteristics vectors associated to the matrix was determined. Each method was studied by analyzing the pixels of the image files in certain situations and directions and at certain distances. The co-occurrence methods had better results for the queries based on water, wood and grass textures and on the ones based on sand, ruble and clouds, better results were obtained using the iso-segment matrix.