2. Overview
Edge Detection
Types and Techniques
Applications
a. Finger print
b. Satellite images
c. Robotics vision
d. Medical science
References
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3. Edge Detection
Abrupt change in the intensity of pixels.
An edge is defined as a sharp change in the pixel values in an image.
Edges provide boundaries between different regions in the image.
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These object boundaries are the first step in many of computer vision algorithms
like edge based face recognition, edge based obstacle detection, edge based
target recognition, image compression etc.
Edge
5. Steps in Edge Detection
Filtering – Filter image to improve performance of the Edge Detector
with respect to noise. suppress as much noise as possible, without
destroying true edges.
Enhancement – Emphasize pixels having significant change in local
intensity, to enhance the quality of edges.
Detection – Identify edges – thresholding, determine which edge pixels
should be discarded as noise and which should be retained (i.e.,
threshold edge magnitude)
Localization – Estimate edge, determine the exact edge location.
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7. Applications : 1. Finger Print7
http://ieeexplore.ieee.org/document/4699203/
• At present finger print recognition has been used widely such as in mobile phones.
• Edge detection techniques enhance the quality of image and cause the improvement in the
image recognition.
8. 2. Satellite Image
The edge map generated by bilateral filtering based edge detection contain more accurate and
well localized edge map.
It also suppresses noise and produces more realistic edge map.
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http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6599472&tag=1
Satellite image Canny based edge map of satellite
image
9. 3. Robotics vision9
• Set the steering wheel angle based on picture of road.
The present and near future main application areas of edge detection(ED) are
robotics vision (e.g. in self-driving vehicles).
http://ieeexplore.ieee.org
Detected carOriginal image
10. 4. Medical science
Another important area being developed which of course involves edge detection
is finding “pathological” objects in medical images such as tumors.
Medical image edge detection is an important method in the recognition of the human
organs and it is an important pre-processing step in 3D reconstruction such as the
reconstruction of brain images.
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Original MRI Scan from Sobel operator from Canny operator
http://www.doc.ic.ac.uk/~ts2615/contribution.html