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《Computer Engineering and Design》 2008-16
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Study on hybrid intelligent algorithms for color image segmentation

ZHANG Xue-xi,YANG Yi-min(Faculty of Automation,Guangdong University of Technology,Guangzhou 510090,China)  
Common color space is introduced,and the current traditional color image segmentation techniques are introuduced.Comparing with their respective advantages and disadvantages,it is found that the traditional single arithmetic of color image segmentation inevitably has some deficiencies and defects.Image segmentation combined with artificial neural network or genetic algorithm is a new research field with rapid development in recent years.The methods have better effect,in that they have human-like intelligence and concurrency.Although many works have been done in this area,we still have a long way to get a satisfactory result.So,we can combine different intelligent algorithms according to the actual situation or have a hierarchical division of image segmentation.By means of these,more effective segmentation algorithms are found in accord with human visual and perceptive traits,and it can make up for existing deficiencies and shortcomings.
【CateGory Index】: TP391.41
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