• Thida Soe

Abstract: Image segmentation is an important role in digital image processing and it could be solved by many clustering method. Segmentation of an image entails the division or separation of an image into regions of similar attribute. In this proposed system, initially natural images are taken from the Berkley Image Segmentation Database (BSD). Various color space of images such as RGB, HSV and L* A* B* are used as input images for the segmentation process. In order to get the same size of image images with different color space, Image J software is used to in this system. Because color conversion function may reduce the input images size is not flexible for this system. This system uses the different color images and the resultant is analyzed with subjective and objective measures. Then the cluster based segmentation techniques SOM unsupervised clustering techniques is applied. A self-organizing map (SOM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional input space of the training samples. This developed method takes into account the color similarity and spatial relationship of objects within an image. According to the features of color similarity, an image is first segmented into cluster regions. The resulting regions are further treated by computing the spatial distance between any two cluster regions, and SOM with a labeling process is applied. The experimental results show that the proposed system is feasible and that the segmented object regions are similar to those perceived by human vision.

Keywords- Color Image Segmentation, SOM Algorithm, Image Processing, Color Space Model, ANN

"Analysis of Color Image Segmentation Using Cluster Based Self-Organizing Map (SOM) Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.675-682, January-2019, Available :http://www.jetir.org/papers/JETIR1901A82.pdf

"Analysis of Color Image Segmentation Using Cluster Based Self-Organizing Map (SOM) Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp675-682, January-2019, Available at : http://www.jetir.org/papers/JETIR1901A82.pdf