Computer Science ›› 2019, Vol. 46 ›› Issue (4): 285-292.doi: 10.11896/j.issn.1002-137X.2019.04.045

• Graphics ,Image & Pattern Recognition • Previous Articles     Next Articles

Color Morphology Image Processing Method Using Similarity in HSI Space

HE Xiao-jun1, XU Ai-gong2, LI Yu2   

  1. College of Innovation and Practice,Liaoning Technical University,Fuxin,Liaoning 123000,China1
    School of Geomatics,Liaoning Technical University,Fuxin,Liaoning 123000,China2
  • Received:2018-04-11 Online:2019-04-15 Published:2019-04-23

Abstract: Morphological methods use structural units to measure and extract the target shape in the image to achieve the purpose of image analysis and processing,and these methods have been widely used in binary and grayscale image processing.In order to extend the gray morphology to the color image,this paper defined the color similarity in the HSI color space and proposed the color morphological image processing method.Firstly,the color similarity measure is defined by combining hue,saturation and intensity in the HSI space to characterize the similarity degree between color vectors.Then,the new type of color morphology is constructed by using color similarity,including the basic operations such as dilation,erosion,opening and closing.Finally,the morphological basic operations combined with color similarity are applied to extract color image edges.Experiments make in-depth analysis and research on the color morphological image processing performance,and it can be found that the color morphology operation is relatively better when the parameter k≤0.05.The experimental results show that the proposed method has the ability of smoothing the edge of the color target and the edge extraction performance.At the same time,it also shows the practicability and effectiveness of the image processing.

Key words: Color morphology, Color similarity, Edge extraction, HSI color space

CLC Number: 

  • TP391.14
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