Enhancing texture descriptors by a neighborhood approach to the non-additive entropy
Local non-additive entropy is used to enhance descriptors of texture images. The entropy enriches the descriptors by measuring the local information. The proposal improved the performance of all of the analyzed methods. The gain was more significant for the neighborhood-based descriptors. The proposal can be applied to other descriptors in real-world problems.
non-additive entropy texture analysis pattern recognition image features