Local mesh quantized extrema patterns for image retrieval

Abstract

In this paper, we propose a new feature descriptor, named local mesh quantized extrema patterns (LMeQEP) for image indexing and retrieval. The standard local quantized patterns collect the spatial relationship in the form of larger or deeper texture pattern based on the relative variations in the gray values of center pixel and its neighbors. Directional local extrema patterns explore the directional information in 0°, 90°, 45° and 135° for a pixel positioned at the center. A mesh structure is created from a quantized extrema to derive significant textural information. Initially, the directional quantized data from the mesh structure is extracted to form LMeQEP of given image. Then, RGB color histogram is built and integrated with the LMeQEP to enhance the performance of the system. In order to test the impact of proposed method, experimentation is done with bench mark image repositories such as MIT VisTex and Corel-1k. Avg. retrieval rate and avg. retrieval precision are considered as the evaluation metrics to record the performance level. The results from experiments show a considerable improvement when compared to other recent techniques in the image retrieval.

Hybrid Approach to Content-Based Image Retrieval Using Modified Multi-Scale LBP and Color Features

“…Jabid et al [45] proposed local directional patterns for texture description to overcome the issue of LBP [44] of not considering directions for feature extraction. Rao et al [53] proposed a new texture feature descriptor local mesh quantized extrema patterns (LMQEP) for CBIR and they combined it with RGB color Histogram for enhancing performance and experimented on MIT VisTex and Corel-1k databases. Lu et al [54] proposed an improved LBP descriptor for texture description.…”

“…LBP operator does not consider directions for achieving the intensity value of center pixel, it only considers the magnitude of the neighborhood pixel intensities. So that, it is the main issue related to the LBP operator which led us to other spatial patterns like LDP [45], LTP [46], LTrp [47], MS-LBP [48,49], LSP [50], LMQEP [53], LCP [51], etc.…”

Quantized Neighborhood Local Intensity Extrema Patterns for Image Retrieval

“…Extraction of Local binary pattern is illustrated in Figure 1. (Koteswara et al, 2015;Koteswara et al, 2016;Koteswara et al, 2018). H Kaur et.…”