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Paper Title: A Flexible Thresholding Based image Edge Detection with High Resolution
Authors Name: Megha Khare , Prof. M.P. Parsai
Unique Id: IJRTI1809018
Published In: Volume 3 Issue 9, September-2018
Abstract: 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 of Science & Engineering Development Research (, ISSN:2455-2631, Vol.3, Issue 9, page no.108 - 113, September-2018, Available :
Downloads: 000843
Publication Details: Published Paper ID: IJRTI1809018
Registration ID:180473
Published In: Volume 3 Issue 9, September-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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