• Corpus ID: 212467408

A Review and Research of Edge Detection Techniques for Image Segmentation

@inproceedings{Dhankhar2013ARA,
  title={A Review and Research of Edge Detection Techniques for Image Segmentation},
  author={Poonam Dhankhar and Neha Sahu},
  year={2013}
}
Interpretation of image contents is one o f the main objectives in computer vision. The purpo se of Image segmentation is to partition an image into me aningful regions with respect to a particular appli cation. Image segmentation is a method of separating the im age from the background and read the contents. Edge is a basic and important feature of an image. Image is a combination of edges. Detecting edges is one of the most important aspects in image segmentation. Edge etection is a vital… 
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References

SHOWING 1-8 OF 8 REFERENCES
EDGE DETECTION TECHNIQUES FOR IMAGE SEGMENTATION
TLDR
In this paper an attempt is made to study the performance of most commonly used edge detection techniques for image segmentation and the comparison of these techniques is carried out with an experiment by using MATLAB software.
A study of Edge Detection Techniques for Segmentation Computing Approaches
TLDR
The main aim is to study the theory of edge detection for image segmentation using various computing approaches based on different techniques which have got great fruits.
Study and Comparison of Various Image Edge Detection Techniques
TLDR
It has been observed that Canny's edge detection algorithm is computationally more expensive compared to LoG( Laplacian of Gaussian), Sobel, Prewitt and Robert’s operator, but performs better than all these operators under almost all scenarios.
Study and Comparison of Various Image Edge Detection Techniques
TLDR
It has been observed that Canny's edge detection algorithm is computationally more expensive compared to LoG( Laplacian of Gaussian), Sobel, Prewitt and Robert’s operator, but performs better than all these operators under almost all scenarios.
A Comparison of various Edge Detection Techniques used in Image Processing
TLDR
The case study deals with observation of Shark Fish Classification through Image Processing using the various filters which are mainly gradient based Roberts, Sobel and Prewitt edge detection operators, Laplacian based edge detector and Canny edge detector.
Image Segmentation using Edge Detection and Threshold ”
  • The 13 th International Arab Conference on Information Technology ( ACIT )
  • 2012
Moraish “Image Segmentation using Edge Detection and Thresh old
  • The 13th International Arab Conference on Information Technology
  • 2012
Sankaranarayanan “ A study of Edge Detection Techniques for Segmentation Computing Approaches ” IJCA Special Issue on Imaging a d Biomedical Applications
  • 2010