Yusuke Kawakami, T. Hattori, Y. Horikawa, Janaka Rajapakse
{"title":"多峰图像的自动彩色图像排列方法","authors":"Yusuke Kawakami, T. Hattori, Y. Horikawa, Janaka Rajapakse","doi":"10.1109/CSCESM.2015.7331823","DOIUrl":null,"url":null,"abstract":"This paper proposes the Histogram Matching based on the Gaussian Distribution (HMGD) method to improve feeling (or Kansei) impression for multiple-peak images. In the previous papers, we have described the HMGD processing. And we also proposed how calculate whether the processing results good or not, using curvature computation. As the results, we have understood that the HMGD processing works well for single-peak images. In this paper, we describe the principle and processing method of HMGD processing to correspond multiple-peak images. And we also illustrate experimental results.","PeriodicalId":232149,"journal":{"name":"2015 Second International Conference on Computer Science, Computer Engineering, and Social Media (CSCESM)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automated color image arrangement method for multiple-peak image\",\"authors\":\"Yusuke Kawakami, T. Hattori, Y. Horikawa, Janaka Rajapakse\",\"doi\":\"10.1109/CSCESM.2015.7331823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the Histogram Matching based on the Gaussian Distribution (HMGD) method to improve feeling (or Kansei) impression for multiple-peak images. In the previous papers, we have described the HMGD processing. And we also proposed how calculate whether the processing results good or not, using curvature computation. As the results, we have understood that the HMGD processing works well for single-peak images. In this paper, we describe the principle and processing method of HMGD processing to correspond multiple-peak images. And we also illustrate experimental results.\",\"PeriodicalId\":232149,\"journal\":{\"name\":\"2015 Second International Conference on Computer Science, Computer Engineering, and Social Media (CSCESM)\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Second International Conference on Computer Science, Computer Engineering, and Social Media (CSCESM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCESM.2015.7331823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Second International Conference on Computer Science, Computer Engineering, and Social Media (CSCESM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCESM.2015.7331823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated color image arrangement method for multiple-peak image
This paper proposes the Histogram Matching based on the Gaussian Distribution (HMGD) method to improve feeling (or Kansei) impression for multiple-peak images. In the previous papers, we have described the HMGD processing. And we also proposed how calculate whether the processing results good or not, using curvature computation. As the results, we have understood that the HMGD processing works well for single-peak images. In this paper, we describe the principle and processing method of HMGD processing to correspond multiple-peak images. And we also illustrate experimental results.