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Description: 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.
Platform: |
Size: 2134 |
Author: 何子鸣 |
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Description: 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.
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Size: 2048 |
Author: 何子鸣 |
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Description: 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
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Size: 2048 |
Author: wonderful |
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Description: 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
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Size: 291840 |
Author: honey |
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Description: 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
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Size: 9216 |
Author: 皮皮 |
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Description: calculated the regionprops of a imagen
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Size: 18432 |
Author: Aladarck |
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Description: 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
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Size: 17408 |
Author: sivasankar |
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Description: 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
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Size: 134144 |
Author: 戴云彤 |
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Description: show regionprops in matlab
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Size: 2048 |
Author: avand |
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Description: 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.
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Size: 4096 |
Author: zhuzi |
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Description: 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)
Platform: |
Size: 2048 |
Author: 空天阔海 |
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