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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 9 (September 2026) | Submission Deadline: September 30, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-0822

An Improved Region Based Segmentation By Using Edge Detection and Filter Technique

Author(s):Vivek Jain, Shanu Sharma
Institution:Department of Computer Science, SRCEM, Banmore
Published In:Vol. 2, Issue 6 — June 2015
Page No.:309-314
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

In computer vision effective image segmentation and object recognition are an important task. Interactive imagesegmentation is an important part in medical images, remote sensing and real time images .This paper presents an effectiveinteractive image segmentation based on region merging method with fuzzy switching median filter, canny Edge detection &Anisotropic diffusion filter Technique . For natural images or Medical images, completely automatic image segmentation isusually inflexible. Interactive schemes are very helpful with a few simple user inputs are high quality solution. Experimentalresults shows that proposed scheme is reliably extract the object contour from the background and making the edges sharp.The main objective of this present work is to provide an efficient approach for image merging using MSMR and for increasethe accuracy of the segmented image, we use fuzzy median filter and Anisotropic Diffusion filter. For edge detection, we usecanny edge detection method .

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🕮 How to Cite

Vivek Jain, Shanu Sharma, “An Improved Region Based Segmentation By Using Edge Detection and Filter Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 6, pp. 309-314, June 2015.

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Vol. 13 | Issue 9
September 2026