{"title":"彩色图像分割的自动快速移位方法","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":"{\"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}","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}
Automatic quick-shift method for color image segmentation
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.