matlab技巧操作之颜色阈值

今天学习如何使用matlab当中的可视化颜色阈值,来自B站up我想当你的验证码

主要是学会使用matlab当中的色彩分割器

色彩分割器当中有一个被称为是HSV的色彩调度,根据百度搜索我们了解到

HSV（Hue, Saturation, Value） ,其对应的含义是

色调（H）、饱和度（S）和明度（V）。

由于HSV是一种比较直观的颜色模型，所以在许多图像编辑工具中应用比较广泛，如Photoshop（在Photoshop中叫HSB）等等，但这也决定了它不适合使用在光照模型中，许多光线混合运算、光强运算等都无法直接使用HSV来实现。

(以上来自百度搜索)

阈值:直观的理解就是对留下的区域颜色显示,超出区域的颜色不显示

具体使用

这个是原始的图像(选自网络游戏;战双)

 通过HSV的调整以后变成

函数的调用

此处可以进行图像或者函数的导出

选择导出函数

导出的函数如下:

function [BW,maskedRGBImage] = createMask(RGB)
%createMask  Threshold RGB image using auto-generated code from colorThresholder app.
%  [BW,MASKEDRGBIMAGE] = createMask(RGB) thresholds image RGB using
%  auto-generated code from the colorThresholder app. The colorspace and
%  range for each channel of the colorspace were set within the app. The
%  segmentation mask is returned in BW, and a composite of the mask and
%  original RGB images is returned in maskedRGBImage.

% Auto-generated by colorThresholder app on 28-Apr-2022
%------------------------------------------------------


% Convert RGB image to chosen color space
I = rgb2hsv(RGB);

% Define thresholds for channel 1 based on histogram settings
channel1Min = 0.049;
channel1Max = 0.101;

% Define thresholds for channel 2 based on histogram settings
channel2Min = 0.163;
channel2Max = 0.741;

% Define thresholds for channel 3 based on histogram settings
channel3Min = 0.690;
channel3Max = 1.000;

% Create mask based on chosen histogram thresholds
sliderBW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
    (I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ...
    (I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);
BW = sliderBW;

% Initialize output masked image based on input image.
maskedRGBImage = RGB;

% Set background pixels where BW is false to zero.
maskedRGBImage(repmat(~BW,[1 1 3])) = 0;

end

imread:在图形文字中提取图像

 imshow:显示图像

最终形式如下: