{"title":"Automatic quick-shift method for color image segmentation","authors":"M. Salem, Abdelhameed Ibrahim, H. Ali","doi":"10.1109/ICCES.2013.6707212","DOIUrl":null,"url":null,"abstract":"This paper develops a segmentation method using an automatic quick-shift method based on illumination invariant representation of color images. The proposed method segments images into homogeneous regions by applying the quick-shift method with initial parameters, and then automatically gets the final segmented image by changing the quick-shift parameters values. This method is valid for large size images. A quantization process is applied to the invariant image to be used as a reference image. Changing parameters values in iterations instead of using a specific value made the proposed algorithm flexible and robust against different image characteristics. The effectiveness of the proposed method for a variety of images including different objects of metals and dielectrics are examined in experiments by using our color imaging system.","PeriodicalId":277807,"journal":{"name":"2013 8th International Conference on Computer Engineering & Systems (ICCES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Conference on Computer Engineering & Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES.2013.6707212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper develops a segmentation method using an automatic quick-shift method based on illumination invariant representation of color images. The proposed method segments images into homogeneous regions by applying the quick-shift method with initial parameters, and then automatically gets the final segmented image by changing the quick-shift parameters values. This method is valid for large size images. A quantization process is applied to the invariant image to be used as a reference image. Changing parameters values in iterations instead of using a specific value made the proposed algorithm flexible and robust against different image characteristics. The effectiveness of the proposed method for a variety of images including different objects of metals and dielectrics are examined in experiments by using our color imaging system.