A New Hybrid Order Approach to Morphological Color Image Processing Based on Reduced Order with Adaptive Absolute Reference  

作　　者：S. Ouattara A. Kouassi J. C. Okaingni A. Koffi G. Loum A. Clement S. Ouattara;A. Kouassi;J. C. Okaingni;A. Koffi;G. Loum;A. Clement(Laboratory of Signals and Electrical Systems (L2SE)), Institut National Polytechnique Houphouë,t Boigny, Yamoussoukro, Cote D’Ivoire;Institut National Polytechnique Houphouë,t Boigny, Yamoussoukro, Cote D’Ivoire;LaboratoireAngevin de Rechercheen Ingénieriedes Systèmes (LARIS), Institut Universitaire de Technologie d’Angers, Angers, France;Ecole Supérieure des technologies de l’information et de la communication Zone 3 Km4 Boulevard de Marseille, Abidjan, Cô,te D’ivoire)

机构地区：[1]Laboratory of Signals and Electrical Systems (L2SE)), Institut National Polytechnique Houphouë,t Boigny, Yamoussoukro, Cote D’Ivoire [2]Institut National Polytechnique Houphouë,t Boigny, Yamoussoukro, Cote D’Ivoire [3]LaboratoireAngevin de Rechercheen Ingénieriedes Systèmes (LARIS), Institut Universitaire de Technologie d’Angers, Angers, France [4]Ecole Supérieure des technologies de l’information et de la communication Zone 3 Km4 Boulevard de Marseille, Abidjan, Cô,te D’ivoire

出　　处：《Engineering（科研）》2016年第9期633-645,共14页工程（英文）（1947-3931）

摘　　要：Mathematical morphology can process the binary and grayscale image successfully. This theory cannot be extended to the color image directly. In color space, a vector represents a pixel, so in order to compare vectors, vectoriel orderings must be defined first. This paper addresses the question of the extension of morphological operator to the case of color images. The proposed method used the order by bit mixing to replace the conditional order. Our order is based on a combination of reduced and bit mixing ordering of the underlying data. Additionally it is a total ordering. Since it not only solves the problems of false color generated by the marginal order but also those of multiple extrema generated by reduced order. The performance of the introduced operators is illustrated by means of different applications: color gradients for segmenting, image smoothing (noise suppression) by median filter operator and Laplacian operators. Examples of natural color images and synthetic color images are given. Experimental results show the improvement brought by this new method.Mathematical morphology can process the binary and grayscale image successfully. This theory cannot be extended to the color image directly. In color space, a vector represents a pixel, so in order to compare vectors, vectoriel orderings must be defined first. This paper addresses the question of the extension of morphological operator to the case of color images. The proposed method used the order by bit mixing to replace the conditional order. Our order is based on a combination of reduced and bit mixing ordering of the underlying data. Additionally it is a total ordering. Since it not only solves the problems of false color generated by the marginal order but also those of multiple extrema generated by reduced order. The performance of the introduced operators is illustrated by means of different applications: color gradients for segmenting, image smoothing (noise suppression) by median filter operator and Laplacian operators. Examples of natural color images and synthetic color images are given. Experimental results show the improvement brought by this new method.

关 键 词：Multicomponent Image Vector Order Adaptive Absolute Referent Bit Mixing Morphological Operators 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]