Open AccessTechniques for Image Segmentation: A Critical Review
Author(s) -
Harshita Mishra,
Anuradha Misra
Publication year - 2021
Publication title -
international journal of research in advent technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9637
DOI - 10.32622/ijrat.93202101
Subject(s) - computer science , digital image processing , pixel , digital image , image processing , image segmentation , computer vision , artificial intelligence , process (computing) , binary image , feature detection (computer vision) , segmentation , image (mathematics) , segmentation based object categorization , pattern recognition (psychology) , scale space segmentation , operating system
In today’s world there is requirement of some techniques or methods that will be helpful for retrieval of the information from the images. Information those are important for finding solution to the problems in the present time are needed. In this review we will study the processing involved in the digitalization of the image. The set or proper array of the pixels that is also called as picture element is known as image. The positioning of these pixels is in matrix which is formed in columns and rows. The image undergoes the process of digitalization by which a digital image is formed. This process of digitalization is called digital image processing of the image (D.I.P). Electronic devices as such computers are used for the processing of the image into digital image. There are various techniques that are used for image segmentation process. In this review we will also try to understand the involvement of data mining for the extraction of the information from the image. The process of the identifying patterns in the large stored data with the help of statistic and mathematical algorithms is data mining. The pixel wise classification of the image segmentation uses data mining technique.