通过蒙版在图像上应用功能 [英] To apply a function through a mask on an image

问题描述

我在impoly('Closed', true)上在图片上创建了一个封闭区域，最后在Matlab命令行中标记了遮罩BW = createMask(h)的区域之后. 在图中为掩膜标记点之前的初始命令

I create a closed region on a picture by impoly('Closed', true) and lastly after marking the area for the mask BW = createMask(h) in Matlab commandline. Initial commands before marking points for the mask in the figure

imshow('contour.png');
h = impoly('Closed',true);

在这里，我在下面使用了 nkjt的答案. 要通过功能 conditionalRemoval(图像，区域)

Here, I used nkjt's answer below. The picture to be filtered by the function conditionalRemoval(image, area)

然后，我跑步

image = imread('contour.png');
areaLazyRemoval = BW; 
image = conditional_removal(image, areaLazyRemoval);

我现在有了掩码和图片. 我应该将功能 conditional_removal 应用于他们.

I now have the mask and the picture. I should apply the function conditional_removal to them.

如何立即使用此蒙版并将功能应用于其标记的区域?

我的函数 conditional_removal 的伪代码是

function [ image ] = conditional_removal( image, areaLazyRemoval )
   % dim image 794 x 1001 x 3 uint
   % dim areaLazyRemoval 794 x 1001 logical
   image(:,:,1) .* areaLazyRemoval;    % TODO wrong operator here!
   % all pixels marked by logical ones in areaLazyRemoval should get lazyRemoval applied
   % else greedyRemoval so zero
   %
end
%%%%%%%%%%%%%%%%%%%%%%%
% lazy removal function
% so remove by 50% chance the thing
function pixel = lazyRemoval(pixel)
if randn > 0
    pixel = 0;
end 
% TODO how to apply pixel-wise removal to the logical matrix and image?

如何通过逻辑矩阵遮罩对图像进行逐像素去除?

推荐答案

为此:

impoly>生成数据>函数createfigure1

impoly > Generate Data > function createfigure1

您的意思是说在打了无礼后，您进入图形窗口并选择"Generate Code"(生成代码)?它将创建一个函数createfigure-但这与impoly无关.

Do you mean after calling impoly, you go into the figure window and select "Generate Code"? Which will create a function createfigure - but this has nothing to do with impoly.

有两种方法可以提取投资回报率.
在用impoly选择区域之后，在关闭图形之前:

There are a couple of ways you can extract the ROI.
After choosing the area with impoly, before closing the figure:

BW = createMask(h);

或者您可以使用getPosition提取位置，然后使用roipoly.

Or you can extract the position with getPosition and then use roipoly.

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