% 读取视频帧序列 v = VideoReader('shoujilux7.mp4'); % 遍历视频帧序列 while hasFrame(v) % 读取当前帧并将其转换为灰度图像 frame = readFrame(v); gray_frame = rgb2gray(frame); % 进行gamma校正 gamma = 1.5; gamma_corrected = imadjust(gray_frame,[],[],gamma); % 进行高斯滤波 sigma = 1; hsize = ceil(6sigma); h = fspecial('gaussian', hsize, sigma); filtered_frame = imfilter(gamma_corrected, h); % 对滤波后的图像进行模拟退火算法改进下的Otsu阈值分割 T = graythresh(filtered_frame); [m, n] = size(filtered_frame); E = bwareaopen(im2bw(filtered_frame, T), round(mn/1000), 8); % 进行Canny边缘检测 canny_edge = edge(E, 'canny'); % 显示处理后的帧 imshow(canny_edge); end形态学处理填充,建立像素坐标系,由边缘求质心坐标,显示在图上
时间: 2023-12-06 22:42:04 浏览: 65
视频读成帧
可以在代码的最后加上以下部分来进行形态学处理填充、建立像素坐标系、求质心坐标并显示在图上:
```
% 进行形态学处理填充
se = strel('disk', 5);
filled_frame = imclose(canny_edge, se);
% 建立像素坐标系
[x, y] = meshgrid(1:n, 1:m);
% 求质心坐标
centroid_x = sum(x(filled_frame)) / sum(filled_frame(:));
centroid_y = sum(y(filled_frame)) / sum(filled_frame(:));
% 在图上显示质心
hold on
plot(centroid_x, centroid_y, 'r*', 'MarkerSize', 15);
hold off
```
最后整个代码应该是这样的:
```
v = VideoReader('shoujilux7.mp4');
while hasFrame(v)
frame = readFrame(v);
gray_frame = rgb2gray(frame);
% 进行gamma校正
gamma = 1.5;
gamma_corrected = imadjust(gray_frame,[],[],gamma);
% 进行高斯滤波
sigma = 1;
hsize = ceil(6*sigma);
h = fspecial('gaussian', hsize, sigma);
filtered_frame = imfilter(gamma_corrected, h);
% 对滤波后的图像进行模拟退火算法改进下的Otsu阈值分割
T = graythresh(filtered_frame);
[m, n] = size(filtered_frame);
E = bwareaopen(im2bw(filtered_frame, T), round(m*n/1000), 8);
% 进行Canny边缘检测
canny_edge = edge(E, 'canny');
% 进行形态学处理填充
se = strel('disk', 5);
filled_frame = imclose(canny_edge, se);
% 建立像素坐标系
[x, y] = meshgrid(1:n, 1:m);
% 求质心坐标
centroid_x = sum(x(filled_frame)) / sum(filled_frame(:));
centroid_y = sum(y(filled_frame)) / sum(filled_frame(:));
% 在图上显示质心
hold on
plot(centroid_x, centroid_y, 'r*', 'MarkerSize', 15);
hold off
% 显示处理后的帧
imshow(canny_edge);
end
```
注意,由于在每个循环中都要绘制质心,因此需要在`imshow`之前加上`hold on`,在`plot`之后加上`hold off`。
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