A comparative study of edge detectors in digital image processing

2017 ◽  
Author(s):  
Ashutosh Sharma ◽  
Mohd Dilshad Ansari ◽  
Rajiv Kumar
Keyword(s):  
Image Processing ◽  
Comparative Study ◽  
Digital Image Processing ◽  
Digital Image ◽  
Edge Detectors

Phase-shifting methodologies in photoelastic analysis—the application of Jones calculus

1996 ◽  
Vol 31 (6) ◽  
pp. 423-432 ◽  
Author(s):  
K Ramesh ◽  
V Ganapathy
Keyword(s):  
Image Processing ◽  
Stress Concentration ◽  
Data Collection ◽  
Comparative Study ◽  
Digital Image Processing ◽  
Digital Image ◽  
Phase Shifting ◽  
Intensity Data ◽  
New Approach ◽  
Photoelastic Analysis

The potential of digital image processing hardware to record intensity data at video rates has resulted in a new approach for data collection. Efforts were aimed at evaluating isochromatic and isoclinic fringe orders quantitatively by processing the intensity data recorded. These methodologies have come to be known as phase-shifting techniques. The various phase-shifting algorithms in photoelasticity are surveyed and a comparative study is done. The use of Jones calculus to understand these methodologies is brought out. An attempt has been made to identify the reason for loss of accuracy in evaluating the field parameters in stress concentration zones.

scholarly journals A COMPARATIVE STUDY OF COMMON EDGE DETECTION OPERATORS IN DIGITAL IMAGE PROCESSING

2021 ◽  
Vol 6 (4) ◽  
pp. 147-152
Author(s):  
Benjamin Kommey ◽  
John Kwame Dunyo ◽  
Eric Tutu Tchao ◽  
Andrew Selasi Agbemenu
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Comparative Study ◽  
Digital Image Processing ◽  
Digital Image ◽  
Common Edge

scholarly journals Comparative study of image enhancement techniques using histogram equalization on degraded images

2018 ◽  
Vol 7 (2.8) ◽  
pp. 468 ◽  
Author(s):  
Shalika Arora ◽  
Megha Agarwal ◽  
Veepin Kumar ◽  
Divya Gupta
Keyword(s):  
Image Processing ◽  
Comparative Study ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Histogram Equalization ◽  
Vital Role ◽  
Enhancement Technique ◽  
Degraded Images

Image Enhancement technique plays a vital role in digital image processing for making an image to be useful for various applications. This technique is used to improve the quality of degraded images.Usually, the degradation is not evenly spread throughout the image, but most of the time it varies from region to region. Our aim is to first identify the region where enhancement is required and improve that region without disturbing its neighbourhood which does not require any improvement. 

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