Feature extraction method for digital images based on intuitionistic fuzzy local binary pattern
Mohd Dilshad Ansari, Satya Prakash Ghrera · 2016
Feature extraction is an important step in the field of digital image processing, which also helps in reducing the dimensions from large data. Researchers are investigating an efficient methods as there are lot of challenges in extracting significant features from an image that can reveal essential information. However, a very small work has been reported to this research domain in the last decades. In this paper, we propose intuitionistic fuzzy local binary (IFLBP) for extracting texture feature from the input image. The proposed technique extends fuzzy local binary pattern method by including intuitionistic fuzzy set theory in the demonstration of local patterns of texture in images. The proposed algorithm has been applied on various images and obtained result shows the effectiveness of our proposed technique.