COLOUR IMAGE SEGMENTATION TECHNIQUES AND ISSUES: AN APPROACH
Nikita Sharma, Mahendra Ku. Mishra, Manish Shrivastava · International journal of scientific and technology research · 2012
Due to the advent of computer technology image-processing techniques have become increasingly important in a wide variety of applications. Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques. With the improvement of computer processing capabilities and the increased application of color image, the color image segmentation are more and more concerned by the researchers. Several general-purpose algorithms and techniques have been developed for image segmentation. Since there is no general solution to the image segmentation problem, these techniques often have to be combined with domain knowledge in order to effectively solve an image segmentation problem for a problem domain. This paper presents a comparative study of the basic image segmentation techniques i.e, EdgeBased, KMeans Clustering, Thresholding and Region-Based techniques.