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[Special Effects] regionprops DL : 0: 在一个图像中检测目标是图像分割的一个例子。为分割连通目标，时常用Watershed变换。如果把一幅图像看做一个具有山(高亮度)和低谷(低亮度)的表面，那么这个变换在一幅图像中找亮度低谷。-in an image detection of image segmentation is a case in point. Segmentation of connectivity, often used Watershed transform. If an image is seen as a Hill (high-brightness) and the bottom (low brightness) of the surface, Well, this transformation in an image brightness for a low ebb.
Update : 2008-10-13 Size : 2.08kb Publisher : 何子鸣
[Special Effects] regionprops DL : 0: 在一个图像中检测目标是图像分割的一个例子。为分割连通目标，时常用Watershed变换。如果把一幅图像看做一个具有山(高亮度)和低谷(低亮度)的表面，那么这个变换在一幅图像中找亮度低谷。-in an image detection of image segmentation is a case in point. Segmentation of connectivity, often used Watershed transform. If an image is seen as a Hill (high-brightness) and the bottom (low brightness) of the surface, Well, this transformation in an image brightness for a low ebb.
Update : 2025-02-17 Size : 2kb Publisher : 何子鸣
[Special Effects] regionprops DL : 1: 使用regionprops中BoundingBox功能对图片进行处理获得X,Y的坐标值以及长宽度-Use regionprops the BoundingBox of the image processing functions to obtain X, Y coordinate values and long-width
Update : 2025-02-17 Size : 2kb Publisher : wonderful
[Editor] khalid_khuwaja DL : 0: 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 : 2025-02-17 Size : 285kb Publisher : honey
[Special Effects] regionprops DL : 0: regionprops函数详解，用于图像处理中获取目标的属性，包括位置、大小等参数-regionprops function Xiang Jie, for image processing for target attributes, including location, size and other parameters
Update : 2025-02-17 Size : 9kb Publisher : 皮皮
[matlab] regionprops DL : 0: calculated the regionprops of a imagen
Update : 2025-02-17 Size : 18kb Publisher : Aladarck
[Special Effects] Low-complexity-background-subtraction-using-frame DL : 0: 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 : 2025-02-17 Size : 17kb Publisher : sivasankar
[Special Effects] regionprops DL : 0: 用regionprops中的Centroid属性来求得两幅图之间各个质点质心位移-Centroid with regionprops properties in between the two images obtained by each particle of mass displacement
Update : 2025-02-17 Size : 131kb Publisher : 戴云彤
[matlab] showregions DL : 0: show regionprops in matlab
Update : 2025-02-17 Size : 2kb Publisher : avand
[Special Effects] huidushuxingceliang DL : 0: 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 : 2025-02-17 Size : 4kb Publisher : zhuzi
[Windows Develop] regionprops求面积和重心 DL : 0: 利用MATLAB中的regionprops函数求取二值化的图像的重心和面积。可以运行(Using the regionprops function in MATLAB, the center of gravity and area of the binary image are calculated. Can run)
Update : 2025-02-17 Size : 2kb Publisher : 空天阔海