{"title":"基于去噪算法的医学超声图像区域增长分割","authors":"Harmeet Saini, V. Sahni","doi":"10.1109/CIACT.2017.7977313","DOIUrl":null,"url":null,"abstract":"Ultrasound pictures are hard to segment because of nearness of speckle noise and the limits of irregular areas. Additionally these are hard to perceive because of resemblance. It's quite difficult to get the desired result from the ultrasound images without improving their quality. Ultrasound images are usually in poor quality. In this paper, a technique to improve the quality of image using region growing segmentation and some other algorithm of image enhancement, de-noising etc. is presented. At the end of processing, the image is enhanced with clear boundaries of region of interest.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Region growing segmentation using de-noising algorithm for medical ultrasound images\",\"authors\":\"Harmeet Saini, V. Sahni\",\"doi\":\"10.1109/CIACT.2017.7977313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ultrasound pictures are hard to segment because of nearness of speckle noise and the limits of irregular areas. Additionally these are hard to perceive because of resemblance. It's quite difficult to get the desired result from the ultrasound images without improving their quality. Ultrasound images are usually in poor quality. In this paper, a technique to improve the quality of image using region growing segmentation and some other algorithm of image enhancement, de-noising etc. is presented. At the end of processing, the image is enhanced with clear boundaries of region of interest.\",\"PeriodicalId\":218079,\"journal\":{\"name\":\"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIACT.2017.7977313\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2017.7977313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Region growing segmentation using de-noising algorithm for medical ultrasound images
Ultrasound pictures are hard to segment because of nearness of speckle noise and the limits of irregular areas. Additionally these are hard to perceive because of resemblance. It's quite difficult to get the desired result from the ultrasound images without improving their quality. Ultrasound images are usually in poor quality. In this paper, a technique to improve the quality of image using region growing segmentation and some other algorithm of image enhancement, de-noising etc. is presented. At the end of processing, the image is enhanced with clear boundaries of region of interest.