matlab实现对彩色图像逆时针旋转邻近插值
时间: 2023-05-29 08:03:40 浏览: 102
以下是MATLAB代码实现彩色图像逆时针旋转邻近插值:
```matlab
% 读入彩色图像
im = imread('color_image.jpg');
% 旋转角度
angle = 30;
% 图像中心点坐标
cx = size(im,2)/2;
cy = size(im,1)/2;
% 旋转矩阵
theta = angle*pi/180;
M = [cos(theta) -sin(theta) 0; sin(theta) cos(theta) 0; 0 0 1];
% 计算旋转后的图像大小
corners = [1 1 1; size(im,2) 1 1; 1 size(im,1) 1; size(im,2) size(im,1) 1];
new_corners = corners*M;
min_x = min(new_corners(:,1));
max_x = max(new_corners(:,1));
min_y = min(new_corners(:,2));
max_y = max(new_corners(:,2));
new_width = round(max_x - min_x);
new_height = round(max_y - min_y);
% 创建新图像
new_im = uint8(zeros(new_height, new_width, size(im,3)));
% 逆时针旋转邻近插值
for y = 1:new_height
for x = 1:new_width
old_xy = [x+min_x-cx y+min_y-cy 1]*inv(M);
old_x = round(old_xy(1));
old_y = round(old_xy(2));
if old_x > 0 && old_x <= size(im,2) && old_y > 0 && old_y <= size(im,1)
new_im(y,x,:) = im(old_y,old_x,:);
end
end
end
% 显示旋转前后的图像
figure;
subplot(1,2,1);
imshow(im);
title('Original Image');
subplot(1,2,2);
imshow(new_im);
title('Rotated Image');
```
需要注意的是,邻近插值是最简单的插值方法,但其结果可能不够平滑,出现锯齿状的边缘。如果需要更好的图像质量,可以使用更复杂的插值方法,如双线性插值、双三次插值等。