Research on genetic segmentation and recognition algorithms

Authors:
Zhenjie Hou;Jianhua Zhang
Affiliations:
School of Information Science and Engineering, Changzhou University, Changzhou, China;Cllege of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China
Venue:
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Year:
2012

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Automatic video segmentation using genetic algorithms

Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Genetic algorithms for video segmentation

Pattern Recognition

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Abstract

Proposed an improved genetic segmentation algorithm and recognition method base on PSO. In the genetic algorithm, 2-dimention chromosome coding is adopted; initialization of population with stochastic and symmetrical methods is produced to keep the variety of the population; OTSU is adopted to be as fitness function; a new individual is introduced in updated population. Abstracted three main components from the segmented image, and used neural networks trained by PSO to recognize the blood cells types. Experiments show that good results can be achieved steadily and quickly.