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摘要： 图像分割的目的是把图像空间分成一些有意义的区域，按照一定的原则将一幅图像分成若干个特定的、具有独特性质的部分或子集，然后提取感兴趣的目标的技术和过程。目前，图像的分割技术中有上百种分割算法，文章在对这上百种分割算法中列举了四种一些基本的、实用的、具有代表性的分割算法做了介绍；边缘检测、阈值处理、基于区域分割、分水岭变换。在对图像分割的研究应用中，人们往往需要对图像进行一些预处理比如对图像的彩色转变为灰色，图像的二值化，图像的亮度变换，图像的噪音处理等，这些预处理都是为了消除图像中的无关信息，恢复有用的真实信息，增强有关信息的可检测性。图像分割应用非常广泛，文章中就针对图像分割在医学中的一些应用，区域生长在焊接孔隙检测的应用和基于图像分割在车牌识别中的应用做了介绍；并指出了图像分割在今后的发展趋势。22233
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毕业论文关键词： 图像分割;图像预处理;阈值法;边缘检测;区域检测;分水岭变换
Research On Image Segmentation Algorithm And Its Application
Abstract: Image segmentation is the purpose of the image space into meaningful regions, according to certain principle, an image is pided into a number of specific, the unique nature of part or subset, and then extract the target of interest.At present, there are hundreds of segmentation algorithm for image segmentation techniques, based on the hundreds of segmentation algorithm enumerates four kinds of basic, practical, representative of the segmentation algorithm is introduced;edge detection, threshold processing, based on region segmentation, watershed transform.In the study of the application of image segmentation in the image, people often need some preprocessing such as color change of image gray, two value image, brightness image transform, image noise processing, these pretreatments are to eliminate irrelevant images of real information, information recovery of useful, enhance the detectability of relevant information.Image segmentation is widely used,the article is aimed at some application of image segmentation in medical science,regional growth in the application of welding porosity detection and introduces the application of image segmentation in vehicle license plate recognition based on;and pointed out that the image segmentation in the future development trend.
Keywords: Image segmentation;Image preprocessing; Threshold method;
Edge detection;Region detection; Watershed transform
目录
摘要 i
Abstract i
目录 iii
1 绪论 1
1.1 图像分割的含义及介绍 1
1.2 发展趋势 2
2 图像预处理 3
2.1 图像预处理 3
2.2 图像的灰度转换 3
2.2.1 彩色图像转换灰度图像的原理 3
2.2.2 彩色图像转换灰度图像的MATLAB实现 3
2.3 图像的二值化 4
2.3.1 二值图像的原理 4
2.3.2 二值图像的MATLAB实现 4
2.4 亮度转换 5
2.4.1 亮度变换函数 5
2.4.2 函数imadjust 6
2.5 平滑滤波 6
2.5.1 领域平均法的原理 6
2.6 图像的锐化滤波 7
2.6.1 线性锐化滤波 8
3 图像分割的典型算法 9
3.1 边缘检测算法 9
3.1.1 LOG（Laplacian-Gauss——拉普拉斯高斯）算子 9