INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Edge detection is a technique used to identify item boundaries in structural and digital images and crop out undesired areas. Edge detection is crucial for its dependability and security, which improves object recognition in computer vision and machine vision applications including face recognition, pedestrian detection, and video surveillance. Edge connectivity and edge thickness, two key constraints on edge detection that have been employed in a variety of advancements, were introduced in this study. An important problem in computer vision has been the best way to choose a threshold for efficient edge detection. Edge connectivity and edge thickness constraints are both addressed by the suggested B-edge detection method with various threshold techniques.
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"An Efficient Edge Detection Approach For Better Edge Connectivity", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 2, page no.b206-b210, February-2023, Available :http://www.ijnrd.org/papers/IJNRD2302122.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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