Colour Image Retrieval Based on Simplest Component Analysis (SCA) with RGB Components

Abstract

Today computers anchored its potential in various tasks of image processing. Due to its rapid growth various methods has been established to resolve different issues which ranges from the past to the present. The common task in image processing is the retrieval of images based on its contents. In earlier CBIR schemes major process has achieve by binary or gray scale images and such research steps nearer to its destination in terms of its accuracy. Hence, it motivates another channel to enter in the doors of colour image retrieval. It is now marching with various methodologies and shrinking with several issues. To overwhelm such challenges in this area of retrieval,  we propose a novel  image retrieval of color images based on its components using Principal Component Analysis (PCA) model. First, the input color image is separated its RGB component into each single component. Then using the PCA the image matching is accomplished with the one component process, then the two component process respectively.  This proposed component based image retrieval provides better in many single components for matching..