A novel fuzzy entropy approach to image enhancement and thresholding
Signal Processing
SVM with stochastic parameter selection for bovine leather defect classification
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
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In the present work are investigated 12 histogram and statistical features for analysis of leather surface images. A research of the features suitability for surface defects detection is done. For the image analysis was used the quadtree decomposition method - a technique that partitions an image into homogeneous blocks. This method gave the possibility of investigation the changes of the features values depending on the area size. It is proposed a scheme for defective regions identification using fuzzy set theory.