AP108's profile - activity

I don't know.. The lines may be broken or of uneven breadth, so something like hough lines may not be suitable. So, my m

I have thought of using some kind of masks which would let only one horizontal line per time to check, but I am not quit

I have thought of using some kind of masks which would let only one horizontal image per time to check, but I am not qui

First of all, thanks for your reply. Yes, I already have the contours but the problem is that the images donnot have the

Edge/Contour identification Hello, Let's say we have one original/ prototype image and one for testing as below. A

Contour isolation Hello, Let's say that I have two similar images, one prototype and one to test, where I have found th

Well that's what I suspected, too. At the end, I may have to narrow it down to specific defects at specific regions.

Thank you very much for your answer. Yes, the distance and orientation of the part is supposed to be the same for each p

Defect detection on metal Object Hello, As a part of a project, I have to decide if a metal object has acceptable quali

Defect detection on metal Object Hello, As a part of a project, I have to decide if a metal object has acceptable quali

yes, let's say a misformed(or missing) tooth from the row on the right or not a good rim because of a hit or something

Too general approach?? Looking for specific defect on specific regions is unavoidable?

Well, my goal is having two images, one of reference part and one of to be tested, in one way to determine if they matc

Defect detection on metal Object Hello, As a part of a project, I have to decide if a metal object has acceptable quali

Defect detection on metal Object Hello, As a part of a project, I have to decide if a metal object has acceptable quali

Defect detection on metal Object Hello, As a part of a project, I have to decide if a metal object has acceptable quali

Defect detection on metal Object Hello, As a part of a project, based on a reference image like this one (acceptable o

Defect detection on metal Object Hello, As a part of a project, based on a reference image like this one image: (accept

Defect detection on metal Object Hello, As a part of a project, based on a reference image like this one image: (accept

Actually, no I don't have sample images, not yet at least. Mainly, I wanted to familiarize with the general steps that h

Thank you very much for your answer.

Hello! To begin with, I'm new to the opencv world so my questions about the implementation of train_hog.cpp, may be of basic nature.

A)First of all, in the main() what's the purpose of the line:

                   pos_image_size = pos_image_size / 8 * 8;

B)In the function computeHOGs, the choice of the specific part of the image(instead of starting from 0,0):

             Rect r = Rect(( img_lst[i].cols - wsize.width ) / 2,
                      ( img_lst[i].rows - wsize.height ) / 2,
                      wsize.width,
                      wsize.height);

is done in order to capture the region which probably has more information (a more 'central')?

C)In get_svm_detector function what's the meaning of

           hog_detector[sv.cols] = (float)-rho;

Thanks in advance and sorry for the multiple questions...

TRAIN_HOG.cpp Hello! To begin with, I'm new to the opencv world so my questions about the implementation of train_hog.cp

Thanks for your immediate answers. 2. Actually I misphrased. We chose the specific start of the Rect (instead of 0,0) in

TRAIN_HOG.cpp Hello! To begin with, I'm new to the opencv world so my questions about the implementation of train_hog.cp