A Practical Approach for Objects Identification in Rgb Colored Image using Segmentation in Matlab Simulation

Abstract: Object Analysis is one of the great challenges of computer vision. The RGB color models are an additive coloration version in wherein red, green and blue light are added collectively in various way to reproduce a large array of colors. The primary goal of the RGB color model is for sensing, representation and show image in electronics systems like televisions and computers, though it’s been used in conventional images. There are general phases that define the flaws the working on these Techniques. The proposed work has been explained the concept of the Image Segmentation means to analysis object in RGB colored and generate performance parameter based on the results or output. The analysis of the different objects and quality of image can be implement using image segmentation process. Keywords: Image Processing, Segmentation, Computer Vision