{"title":"恶性疟原虫厚血涂片的暗拉伸图像增强与分割","authors":"Neha Hanif, M. Y. Mashor, Z. Mohamed","doi":"10.1109/CSPA.2011.5759883","DOIUrl":null,"url":null,"abstract":"This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing the contrast range could enhance the image. The original image might have areas of very high and very low intensity, which mask details. Segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear\",\"authors\":\"Neha Hanif, M. Y. Mashor, Z. Mohamed\",\"doi\":\"10.1109/CSPA.2011.5759883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing the contrast range could enhance the image. The original image might have areas of very high and very low intensity, which mask details. Segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects.\",\"PeriodicalId\":282179,\"journal\":{\"name\":\"2011 IEEE 7th International Colloquium on Signal Processing and its Applications\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 7th International Colloquium on Signal Processing and its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSPA.2011.5759883\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2011.5759883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear
This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. Reducing the noise and blurring and increasing the contrast range could enhance the image. The original image might have areas of very high and very low intensity, which mask details. Segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects.