Image segmentation is a fundamental approach in the field of image processing and based on user’ sapplication. This paper propose an original and simple segmentation strategy based on the EM approach thatresolves many informatics problems about hyperspectral images which are observed by airborne sensors. In afirst step, to simplify the input color textured image into a color image without texture. The final segmentationis simply achieved by a spatially color segmentation using feature vector with the set of color valuescontained around the pixel to be classified with some mathematical equations. The spatial constraint allowstaking into account the inherent spatial relationships of any image and its color. This approach provideseffective PSNR for the segmented image. These results have the better performance as the segmented imagesare compared with Watershed & Region Growing Algorithm and provide effective segmentation for theSpectral Images & Medical Images.