Color is one of the properties which add information to the images. This proposed work describes a color image segmentation method based on color space and Otsu Method. To realize an image, one needs to isolate the objects in it and have to find relation among them. The separation of objects is referred as image segmentation. The color supposed by human is a combination of three color stimuli such as red (R), green (G), and blue (B), which forms a color space. Many color models are used to represent the colors like RGB (red, green, blue), CMY (cyan, magenta, yellow),HSV (hue, saturation, intensity), HSL (hue, saturation, luminance). In this proposed work an effort is made to defeat the problems encountered while segmenting an object by using the color properties of the image. Behind pre-processing, the image is converted from RGB image to Gray Scale image. After that the colors pixels are classified using the nearest neighbor rule. Then the scattered plot of the segmented pixel in a*b* are shown. Next, Otsu based color segmentation is performed on Gray scale image to obtain the particular object of interest. The experimental results shown in this paper for the proposed method is effectual in segmenting the images.

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Remote Sensing Image Otsu Method Image Segmentation L*a*b* Color Space