Thresholds decision method for fast object detection systems

Abstract

In this paper, we propose a new determination method of color thresholds for extracting objects. In order to obtain the optimal color threshold, it is necessary to determine RGB values all together because one color consists of a combination of RGB values. The two optimal thresholds, a upper and a lower, are determined for object extraction by applying genetic algorithm. Moreover, in the proposed method, individuals are evaluated using two fitness functions for obtaining the optimal color thresholds, and initial population is generated with color histograms for fast convergence. Finally, computer simulations are performed, and the result images are shown.image processing, object extraction, threshold, genetic algorithm, fitness function 0-7803-7866-0/03/$17.00 02003 IEEE

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“…When using color thresholding, it is important to determine the optimal range of the threshold values to minimize segmentation errors [29,[31][32][33]. Narrowing the thresholds increases the probability that the accepted pixels are actually part of the object of interest, though it can also result in rejection of numerous actual pixels that represent that object.…”