基于hsv空间的彩色图像素边缘检测计算机应用技术专业论文.docxVIP

基于hsv空间的彩色图像素边缘检测计算机应用技术专业论文.docx

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基于hsv空间的彩色图像素边缘检测计算机应用技术专业论文

研究生优秀毕业论文 空间中一种行之有效的彩色图像亚像素边缘检测方法,在边缘检测正确率和亚像素品质方 空间中一种行之有效的彩色图像亚像素边缘检测方法,在边缘检测正确率和亚像素品质方 面都有传统算法没有的优势。 关键词:颜色距离;彩色图像;边缘检测;亚像素;边缘评价 万方数据 Sub—pixel Sub—pixel Edge Detection of Color Images Based on HSV space Discipline:Computer Application Technology Student Signature: 厶“泓 删孵 Supervisor Signature: 仪泗n Abstract The Paper Supposed by Natural Science Basic Research Plan in Shaanxi Province of China(Program No.201 3JM8043). In recent years,computer measurement technology gets rapid development,it’S been a lot of new detection technologies,SO,online measurement may achieve high accuracy and high speed standard.An important aspect of image measurement technology is the image edge detection,edge detection is extraction accurately useful information of image,it occupies an important position in digital image processing and computer vision,it has become the main technology to solve the problem of high precision in the current measurement technologies. Now there are many edge detection algorithms,but the lack of calculation speed and the algorithm itself leading to many limitations in practical edge detection process. The results of color image edge detection depend on the choice of color space largely,this paper first introduces the color space to solve the space expression problem of color image,and choose the HSV space which based on human visual perception to detect the edge.Then introduce some traditional dege detection algorithms,and classify some color image dege detection method,provide theoretical basis for the algorithm in this paper.Analysis that the key of color image edge detection is the color distance problem,the definition of color distance is introduced,propose the HSVsin.cos color distance model combining the characteristics of HSV color space and the Euclidean distance calculation principle.Improve the SUSAN operator which has the superiority of detecting the image edge angle points to make it Can be fully applied to the HSV space.Use the t

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