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Overview of method of speed increasing for morphological algorythms
Engineering Bulletin # 03, September 2018
УДК: 004.932
This work reviews typical approaches to speed up morphological algorithms for application in computer vision, that uses embedded controllers and signal processors. Typical approaches, algorithms obtained on their basis, their properties, advantages and disadvantages, possible scope of application are considered. An experimental comparison of the characteristics of these approaches is conducted, recommendations are given for choosing an approach for practical problems. The article may be of interest to both engineers working in the field of technical vision, and for students and post-graduates studying pattern recognition.
Parameter space normalization in General Hough transform
Engineering Education # 02, February 2014
DOI: 10.7463/0214.0697554
The paper considers an issue of object registration in the image through the generalized Hough transform with uncompensated geometric distortions being available. It proposes the method of geometric distortion correction and the method of parameter space normalization. The paper shows that the proposed algorithms require a relatively small amount of computations, but significantly improve the reliability of object detection. The paper may be of interest to professionals working in the field of pattern recognition as well as to graduate and undergraduate students attending lectures on the pattern recognition.

# 03, March 2012
 
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