图形图像处理[第3讲].ppt

  1. 1、本文档共32页,可阅读全部内容。
  2. 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
  3. 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  4. 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
图形图像处理[第3讲]

图形图像处理;主要内容;卷积与滤波;CONV Convolution and polynomial multiplication. C = CONV(A, B) convolves vectors A and B. The resulting vector is length MAX([LENGTH(A)+LENGTH(B)-1, LENGTH(A),LENGTH(B)]). If A and B are vectors of polynomial coefficients, convolving them is equivalent to multiplying the two polynomials.;卷积;二维卷积;二维卷积;二维卷积;二维卷积;C = CONV2(..., SHAPE) returns a subsection of the 2-D convolution with size specified by SHAPE: full - (default) returns the full 2-D convolution, same - returns the central part of the convolution that is the same size as A. valid - returns only those parts of the convolution that are computed without the zero-padded edges. size(C) = max([ma-max(0,mb-1),na-max(0,nb-1)],0). See also conv, convn, filter2 and, in the signal Processing Toolbox, xcorr2. ; ;卷积的性质;问题;二维卷积示例;二???卷积示例;二维卷积示例;二维卷积示例;线性运算; subplot(221); imshow(uint8(c)); hold on ; subplot(222); imshow(uint8(0.5*c)); hold on ; subplot(223); imshow(uint8(0.25*c)); hold on ; subplot(224); imshow(uint8(0.05*c)); hold on;;直方图;直方图;IMHIST(I,N) displays a histogram with N bins for the intensity image I above a grayscale colorbar of length N. If I is a binary image then N can only be 2.; IMHIST(X,MAP) displays a histogram for the indexed image X. This histogram shows the distribution of pixel values above a colorbar of the colormap MAP. The colormap must be at least as long as the largest index in X. The histogram has one bin for each entry in the colormap.; [COUNTS,X] = imhist(...) returns the histogram counts in COUNTS and the bin locations in X so that stem(X,COUNTS) shows the histogram. For indexed images, it returns the histogram counts for each colormap entry; the length of COUNTS is the same as the length of the colormap.;For intensity images, the N bins of the histogram are each half-open intervals of width A/(N-1). In partic

文档评论(0)

shaoye348 + 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档