【图像处理】图像形态学处理系统Matlab源码

 1 简介

图像形态学处理可以为图像检测识别提供技术指导.通过MATLAB中多种函数的选择对图像进行不同算法处理,结果表明:利用MATLAB软件能够实现彩色图像分量提取，加噪去噪。

2 部分代码

function hsi = rgb2hsi(rgb)
%RGB2HSI Converts an RGB image to HSI.
% HSI = RGB2HSI(RGB) converts an RGB image to HSI. The input image
% is assumed to be of size M-by-N-by-3, where the third dimension
% accounts for three image planes: red, green, and blue, in that
% order. If all RGB component images are equal, the HSI conversion
% is undefined. The input image can be of class double (with values
% in the range [0, 1]), uint8, or uint16.
%
% The output image, HSI, is of class double, where:
% hsi(:, :, 1) = hue image normalized to the range [0, 1] by
% dividing all angle values by 2*pi.
% hsi(:, :, 2) = saturation image, in the range [0, 1].
% hsi(:, :, 3) = intensity image, in the range [0, 1].
% Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins
% Digital Image Processing Using MATLAB, Prentice-Hall, 2004
% $Revision: 1.5 $ $Date: 2005/01/18 13:44:59 $
% Extract the individual component images.
rgb = im2double(rgb);
r = rgb(:, :, 1);
g = rgb(:, :, 2);
b = rgb(:, :, 3);
% Implement the conversion equations.
num = 0.5*((r - g) + (r - b));
den = sqrt((r - g).^2 + (r - b).*(g - b));
theta = acos(num./(den + eps));
H = theta;
H(b > g) = 2*pi - H(b > g);
H = H/(2*pi);
num = min(min(r, g), b);
den = r + g + b;
den(den == 0) = eps;
S = 1 - 3.* num./den;
H(S == 0) = 0;
I = (r + g + b)/3;
% Combine all three results into an hsi image.
hsi = cat(3, H, S, I);

3 仿真结果

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4 参考文献

[1]钱月. 基于MATLAB的图像形态学处理技术与应用[J]. 内江师范学院学报, 2019(10):51-55.

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部分理论引用网络文献，若有侵权联系博主删除。

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