Implication Of Data Mining Techniques Towards Image Segmentation And Classification

Abstract

Image enhancement and image segmentation are highly researched topics of Digital Image Processing (DIP). In image segmentation the image analysis is done in various steps and has important role in digital image processing. The fundamental methods and step required to segment the image for gathering information about image using image segmentation will be studied in this work. The most important method for analyzing image is segmentation. In this research work various methods for segmentation will be studied such as-edge detection method, thresholding method, region growing method, clustering method. Similarity and discontinuity are the most important properties of image segmentation algorithm. In the present time the highly growing area in the field of data mining and in the computer vision is image classification. The main purpose of the image classification is to remove space between pixels in the image.