Texture Feature Extraction Using Local Optimal Oriented Pattern (LOOP)

Various descriptors are preferred to extract the Local features of the image, including Local Binary Pattern, Local Directional Pattern, and Local Optimal Oriented Pattern. This paper provides the comparative analysis of LBP and Local Optimal Oriented Pattern (LOOP) descriptors for local feature extraction, further used for various applications. While tracking an object from a video, the provided input video sampled into the subsequent frames. For the removal of noise and enhance the frame’s contrast, Median filter is applied on each of the frames. Local features of the image extracted using the Local Optimal Oriented Pattern (LOOP) from these filtered images. The results of LOOP descriptor compared with the Local Binary Pattern (LBP) in terms of histogram and execution time. Experimental analysis shows comparison with the specified feature extraction method in terms of the execution time and accuracy.