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edge detection is one of the critical part of image processing but the question arise here is that the available methods are good or improvements required, answer is yes there are methods of edge detection which works good but not for all type of images, some methods like Canny, Roberts and Prewitt, works better for the images having high intensity and high frequencies in other hand Sobel works better for low intensity and low frequency images.Proposed work has better solution which provides edge detection for the high and low frequency/ intensity images with modified Thresholding and combination of sobel and canny Edge detection. Feature extraction is a classic problem image processing. Edges are often detected using integer-order differential operators. Hence proposed edge detection method is working in frequency and time domain parallel.
Keywords:
CA: Canny Algorithm, MFM: Morphological Filtering Method, ALE: Median Line Enhancer
Cite Article:
"A Flexible Thresholding Based image Edge Detection with High Resolution", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 9, page no.108 - 113, September-2018, Available :http://www.ijrti.org/papers/IJRTI1809018.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator