Textural and color descriptor fusion for efficient content-based image retrieval algorithm

摘要: In communication, medium images are used for various applications such as social websites, education, bio-medical field and industrial applications. Indexing retrieval of large image database pose a big problem. The content-based (CBIR) approaches to select information from the input using feature descriptors. this article, CBIR algorithm is proposed with fusion color texture descriptors binary Gabor pattern (BGP), segmentation based fractal analysis (SFTA), edge histogram descriptor (EHD), wavelet features fuzzy histogram-based Laplacian score has employed reduce vector dimensions. Retrieval rate computed different distance metrics. Experimentation was performed ten classes 1000 Wang database. simulation results indicate improvement in terms precision compared existing techniques.