Text Components Segmentation with Connected Component analysis in DAR

ISBN-13: 9786204954134 / Angielski / Miękka / 52 str.

Bipasha Chakrabarti Banik; Srijan Banerjee

Opis

In computer vision image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity or texture. Adjacent regions are significantly different with respect to the same characteristics.

O autorze

Chakrabarti Banik, BipashaProf. B. C. Banik is presently working as an Assistant Professor & TIC of ECE Department at Gargi Memorial Institute of Technology. She is research scholar of Padmsree Ajay Ray. Her area of Interest ML, AI, Fuzzy.Prof. Srijan Banerjee is presently working as an Assistant Professor of EE Department. His area of Interest control Systems, Power.