A new algorithm of image segmentation using curve fitting based higher order polynomial smoothing

Image segmentation plays an efficient role in image analysis which discriminates the objects from its background in pixel level. In accordance with the application, image segmentation is widely spread over various fields. The motivation of this paper is to focus on the application of statistical analysis in image segmentation. In this paper, we have incorporated curve fitting technique on an image to acquire the segmented image thereby extracting information from the images. By using higher order polynomial smoothing curve, appropriate result is obtained from detection of the object. Furthermore, we have calculated the image quality metrics which is a method of statistical analysis to get the quality measures and performance analysis of images. Extensive experiments show that the proposed approach outperforms the existing approaches namely histogram based segmentation, edge detection based segmentation, Ostu's segmentation and Watershed segmentation. The outcome is derived by applying the proposed algorithm and results obtained are appreciable.