Image analysis and feature extraction

6 次查看（过去 30 天）
hanem ellethy
hanem ellethy 2016-4-24
评论： Image Analyst 2016-4-24
Dear all I am working on a project dealing with images. I want to extract the features of each image then combine all features into one table( database).
Note: I did one project before but each image has some tissues (blobs) so I dealt with tissues as a record not the image. But in this case I need to deal with the image as a record.
Thank you

请先登录，再回答此问题。

回答（1 个）

Image Analyst
Image Analyst 2016-4-24
I don't understand what you mean when you're talking about doing image analysis as an image versus a record. This makes absolutely no sense to me: "I dealt with tissues as a record not the image. But in this case I need to deal with the image as a record." You want "as a record" in both cases but what's the difference between "tissues" in the first case and "image" in the second case?
If you want to know how to measure some things in an image, see my image segmentation tutorial: http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
  7 个评论
显示 5更早的评论
hanem ellethy
hanem ellethy 2016-4-24
okay, please advice how can I extract features for the previous image related to the two points in the image?
when I tried segmentation and regionprops I got two blobs and (2x1)structure array
when i tried to use something like this
regions = detectMSERFeatures(I);
I got a message means that it can't be done for unit 8 image
L7=imread('fig7.jpg');
L7=rgb2gray(L7);
LL7=imcomplement(L7);
figure(1);imshow(L7);title('original image');
h = imrect(gca, [169 5 989 788]);
maskImage = h.createMask();
% Mask the image with the rect.
LL7(~maskImage) = 0;
figure(2),imshow(LL7);title('ROI after applying mask');
binaryImage7 = LL7 > 100;
binaryImage7 = bwareaopen(binaryImage7,30);% Get rid of small specks of noise
binaryImage7 = imfill(binaryImage7, 'holes');
tt7 = regionprops(binaryImage7, 'all');
please help may be I can not explain good
Image Analyst
Image Analyst 2016-4-24
Sorry, I don't know what to tell you. You're now segmenting the image. I thought you did not want to do that. So you can either segment and measure the image, like you're doing here. Or you can not segment the image and just measure the whole image as one giant rectangular blob. Or you can look at just two points like you mentioned before and the only thing you can get from that is the gray levels or colors at those locations and the distance between the two points.
Regarding your error message, you can't convert to gray scale with rgb2gray if your image is already gray scale. So check and only call it if it's gray scale
if ndims(L7) == 3
L7=rgb2gray(L7);
end

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Image Processing Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by