Abstract—In this paper we are Image retrieval, initiated in the late 1970’s, aims to provide an effective and efficient tool for managing large image databases. With the ever-growing volume of digital images generated, stored, accessed and analyzed, this specific technique continually gains momentum, and has witnessed several major breakthroughs. The initial image retrieval is based on keyword annotation, which is a natural extension of text retrieval. In this approach, the images are first annotated manually by keywords, and then retrieved by their annotations. However, it suffers from several main difficulties, e.g., the large amount of manual labor required to annotate the whole database, and the inconsistency among different annotators in perceiving the same image.

Index Terms—Content based image reatraival, GLCM CCM

Cite: Kommu Naveen and N Sudarshan, "RESEARCH AND IMPLEMENTATION OF AN IMAGE RETRIEVAL SYSTEM BASED ON COLOR, TEXURE AND SHAPE FEATURS ANALYSIS," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 5, No. 1, pp. 28-33, January 2016.