Image Segmentation using Morphological Operations
Author(s) -
Diya Chudasama,
Tanvi Patel,
Shubham Joshi,
Ghanshyam I. Prajapati
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/20654-3197
Subject(s) - computer science , artificial intelligence , segmentation , computer vision , image (mathematics) , computer graphics (images)
Image Segmentation plays vital role in Computer Vision and Digital Image Processing. It is the process of separating the digital image into distinct region(s) possessing homogeneous properties. The main objective of image segmentation is to extract various features of the image that are used for analyzing, interpretation and understanding of images. Image segmentation is applied in various applications like medical imaging, shape detection, content-based image retrieval, robot vision, etc. Several techniques have been developed for image segmentation such as pixel-based segmentation, edge based segmentation and region based segmentation. In this paper, segmentation technique is defined using the edge detection and morphological operations. Edge detection is done using Fuzzy Canny method for better output. After detecting the edges of image, segmentation is done using morphological operation. This gives better results. General Terms Dilation, Morphology, Erosion, Flood Fill.
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