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vc++调用matlab函数混合编程实现二值图像的区域标记。-vc++ call matlab function Matlab binary image of the regional markers.
Update : 2025-02-19 Size : 1.13mb Publisher : 李占闯

联通区域的标记 matlab 的bwlabel功能-matlab bwlabel
Update : 2025-02-19 Size : 682kb Publisher : caifeifei

计算硬币数量 运用imerode and bwlabel 代码-Calculate coins number using imerode code and bwlabel
Update : 2025-02-19 Size : 13kb Publisher : pat

Igray = rgb2gray(I) Ibw = im2bw(Igray,graythresh(Igray)) Iedge = edge(uint8(Ibw)) se = strel( square ,3) Iedge2 = imdilate(Iedge, se) Ifill= imfill(Iedge2, holes ) [Ilabel num] = bwlabel(Ifill) Iprops = regionprops(Ilabel) Ibox = [Iprops.BoundingBox] Ibox = reshape(Ibox,[4 50]) Ic = [Iprops.Centroid] Ic = reshape(Ic,[2 50]) Ic = Ic Ic(:,3) = (mean(Ic.^2,2)).^(1/2) Ic(:,4) = 1:50 Extra lines compare to example2 to extract all the components into an cell array Ic2 = sortrows(Ic,2) for cnt = 1:5 Ic2((cnt-1)*10+1:cnt*10,:) = sortrows(Ic2((cnt-1)*10+1:cnt*10,:),4) end Ic3 = Ic2(:,1:2) ind = Ic2(:,4) for cnt = 1:50 img{cnt} = imcrop(Ibw,Ibox(:,ind(cnt))) end -Igray = rgb2gray(I) Ibw = im2bw(Igray,graythresh(Igray)) Iedge = edge(uint8(Ibw)) se = strel( square ,3) Iedge2 = imdilate(Iedge, se) Ifill= imfill(Iedge2, holes ) [Ilabel num] = bwlabel(Ifill) Iprops = regionprops(Ilabel) Ibox = [Iprops.BoundingBox] Ibox = reshape(Ibox,[4 50]) Ic = [Iprops.Centroid] Ic = reshape(Ic,[2 50]) Ic = Ic Ic(:,3) = (mean(Ic.^2,2)).^(1/2) Ic(:,4) = 1:50 Extra lines compare to example2 to extract all the components into an cell array Ic2 = sortrows(Ic,2) for cnt = 1:5 Ic2((cnt-1)*10+1:cnt*10,:) = sortrows(Ic2((cnt-1)*10+1:cnt*10,:),4) end Ic3 = Ic2(:,1:2) ind = Ic2(:,4) for cnt = 1:50 img{cnt} = imcrop(Ibw,Ibox(:,ind(cnt))) end
Update : 2025-02-19 Size : 285kb Publisher : honey

Tracking w/ blob detection, morphological operation (Togeather) frames = {avi.cdata} uses the cdata from the video file fg = extractForeground(frames) do foreground extraction cmap = colormap(gray) for i = 1:length(fg) temp0{i} = edge(fg{i}, canny , 0.99) + fg{i} temp2 = temp0{i} temp2 = cat(3,temp2,temp2,temp2) fgs = rgb2gray(temp2) sedisk = strel( square ,10) fgs = imclose(fgs, sedisk) fgs = imfill(fgs, holes ) RLL = bwlabel(fgs) stats = regionprops(RLL, basic , Centroid ) fig = figure(1),imshow(RLL) hold on for n = 1:length(stats) if(stats(n).Area > 100) plot(stats(n).Centroid(1), stats(n).Centroid(2), r* ) end end hold o-Tracking w/ blob detection, morphological operation (Togeather) frames = {avi.cdata} uses the cdata from the video file fg = extractForeground(frames) do foreground extraction cmap = colormap(gray) for i = 1:length(fg) temp0{i} = edge(fg{i}, canny , 0.99) + fg{i} temp2 = temp0{i} temp2 = cat(3,temp2,temp2,temp2) fgs = rgb2gray(temp2) sedisk = strel( square ,10) fgs = imclose(fgs, sedisk) fgs = imfill(fgs, holes ) RLL = bwlabel(fgs) stats = regionprops(RLL, basic , Centroid ) fig = figure(1),imshow(RLL) hold on for n = 1:length(stats) if(stats(n).Area > 100) plot(stats(n).Centroid(1), stats(n).Centroid(2), r* ) end end hold off
Update : 2025-02-19 Size : 17kb Publisher : sivasankar

有关连通域的提取,以肺部图片作为示例,使用bwlabel函数,非常方便-Connected domain on the extraction of the lung images as an example, the use of bwlabel function, very convenient
Update : 2025-02-19 Size : 427kb Publisher : 朱旬旬

DL : 0
为MATLAB中的图形增加标签,从而可以有效地表示图形意义,防止读不懂图的情况- BWLABEL supports 2-D inputs only, whereas BWLABELN support any input dimension. In some cases you might prefer to use BWLABELN even for 2-D problems because it can be faster. If you have a 2-D input whose objects are relatively "thick" in the vertical direction, BWLABEL will probably be faster otherwise BWLABELN will probably be faster.
Update : 2025-02-19 Size : 2kb Publisher : resson

图像处理的一些基本matlab源代码,用于matlab图像处理的学习,《matlab数字图像处理》(张德丰)-Some basic image processing matlab source code matlab for image processing, learning, "matlab digital image processing" (Zhang Defeng)
Update : 2025-02-19 Size : 36kb Publisher : douyxiang

bwlabel via disjoint set-bwlabel via disjoint set
Update : 2025-02-19 Size : 6kb Publisher : tomy

bwlabel的图像定位标记,用于二值图像定位标记,4连通8连通等-bwlabel image positioning mark
Update : 2025-02-19 Size : 6.28mb Publisher : 沈宋衍

一种最新的连通域标记方法,能够快速进行连通域标记-One of the latest connected component labeling method to quickly connected component labeling
Update : 2025-02-19 Size : 2kb Publisher : 孟凡龙

一种二值图像连通区域标记方法,能用于目标跟踪,我已经应用过,效果不错。-It is a new connected componet labeling algorithm for binary image,and can be used in object tracking. It is effective to be proved.
Update : 2025-02-19 Size : 279kb Publisher : xiaoxixi

灰度图像的属性计算:利用bwlabel和regionprops函数对度量二值图像中目标对象的属性。-Attribute gray image: Using bwlabel and regionprops function measure binary image of the target object attributes.
Update : 2025-02-19 Size : 4kb Publisher : zhuzi

基于MATLAB的图像处理有关:链码 编码 不变矩 标注等代码-The image processing chain code invariant annotation
Update : 2025-02-19 Size : 323kb Publisher : Katherine

DL : 0
用C语言编写MATLAB 函数, 主要用于DSP芯片, 后期可参考转化为汇编, 提高速度-Use the programming language C to write the MATLAB function, bwlabel
Update : 2025-02-19 Size : 1.86mb Publisher : kgrosee

.c++连通区域标记算法2,功能和matlab 中的 bwlabel相似,用opencv 编写-.c++ connected component labeling algorithm 2, function and MATLAB similar to the bwlabel, prepared by opencv
Update : 2025-02-19 Size : 1kb Publisher : ffffffff

二值图像连通域分析,和MATLAB中bwlabel函数功能相似-Connected domain analysis of binary image, and bwlabel similar function in MATLAB
Update : 2025-02-19 Size : 277kb Publisher : liudawei

机械视觉,连通区域的类别标签。自己写的8连通区域标记,可代替函数库中的bwlabel函数-Label connected components (8-connected)
Update : 2025-02-19 Size : 1kb Publisher : 冯宇

二值图连通域标记算法,标记二值图像的连通域-Two value graph connected domain labeling algorithm
Update : 2025-02-19 Size : 281kb Publisher : 孔凡东

用于计算二值图像的最小外接矩形(若针对连通区域可用增加bwlabel函数自行处理)(The minimum circumscribed rectangle)
Update : 2025-02-19 Size : 11kb Publisher : zsj9509
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