{"title":"基于两个弯曲度积的图像角点检测","authors":"Liao Wenzhi, Pi Youguo","doi":"10.3969/J.ISSN.1000-565X.2010.02.025","DOIUrl":null,"url":null,"abstract":"As the difference in bending degree between comer points and non-corner points is not large enough for image detection, an algorithm of image comer detection based on the product of two bending degrees is proposed. The proposed algorithm enlarges the differences in bending degree by multiplying the first bending degree and the second bending degree. Then, the comer detection for digital images is conducted. Experimental results show that the proposed algorithm is simple and effective, and that it helps to detect image comers with good stability and high precision.","PeriodicalId":35957,"journal":{"name":"华南理工大学学报(自然科学版)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Corner detection of image based on product of two bending degrees\",\"authors\":\"Liao Wenzhi, Pi Youguo\",\"doi\":\"10.3969/J.ISSN.1000-565X.2010.02.025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the difference in bending degree between comer points and non-corner points is not large enough for image detection, an algorithm of image comer detection based on the product of two bending degrees is proposed. The proposed algorithm enlarges the differences in bending degree by multiplying the first bending degree and the second bending degree. Then, the comer detection for digital images is conducted. Experimental results show that the proposed algorithm is simple and effective, and that it helps to detect image comers with good stability and high precision.\",\"PeriodicalId\":35957,\"journal\":{\"name\":\"华南理工大学学报(自然科学版)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"华南理工大学学报(自然科学版)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.3969/J.ISSN.1000-565X.2010.02.025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"华南理工大学学报(自然科学版)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.3969/J.ISSN.1000-565X.2010.02.025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Corner detection of image based on product of two bending degrees
As the difference in bending degree between comer points and non-corner points is not large enough for image detection, an algorithm of image comer detection based on the product of two bending degrees is proposed. The proposed algorithm enlarges the differences in bending degree by multiplying the first bending degree and the second bending degree. Then, the comer detection for digital images is conducted. Experimental results show that the proposed algorithm is simple and effective, and that it helps to detect image comers with good stability and high precision.