speckle | Laser speckle contrast imaging | Computer Vision library

Try to use pandas.Series.str.strip() to remove heading and tailing whitespace in column Record Status and use pandas.Series.isin() to filter column

• Layer ➤ Mask ➤ Add layer mask, and initialize to Transfer layer's alpha channel
• Start the Levels tool (which will act on the mask), and drag the leftmost handle in the "Input" area your grey shade disappears.
• You can use the middle handle of the same area to adjust the pixellation of the edges.
• When happy with the result use Layer ➤ Mask ➤ Apply layer mask.

But this problem stems from something you missed earlier. You should probably have removed another color in the color-to-alpha step. Or if there is a pattern in the background, you can try to replicate the complete pattern on an additional layer that you then put in "Color Erase" mode.

It's not very intuitive, but you can use the CIColorMatrix filter to manipulate the image's alpha value:

The problem is that Microsoft never anticipated the text in a static control changing, so they didn't implement a proper WM_ERASE to erase the static background. You can subclass the control and do it yourself, or you can draw over the static control a rectangle of the background color before changing the text.

Seems like a simple solution is to set the non values to zero. I don't know how you would get around this, because most image processing kernels require some value to for you to apply. a[numpy.argwhere(a==None)] = 0

When you call assertWarns(UserWarning, checking_aad_local_groups(...)) then you are calling checking_aad_local_groups and passing the result to assertWarns. You want to give assertWarns a callable so that it can wrap it in the warning detection code.

I think you want to find group names that exist in one list but not two lists.

So here is my solution:

There are two problems:

1. Disable blending. Use SDL_SetTextureBlendMode(source, SDL_BLENDMODE_NONE); before RenderCopy, otherwise you'll get wrong colour (blended with default black - result would be darker than it shound be). Blending tied to texture so if you want to use this texture later you probably should reset blending mode right away. See SDL_SetTextureBlendMode doc for formulas used in different blend modes.

2. Your resulting surface don't have alpha channel so there is nowhere to copy result. Check documentation for SDL_CreateRGBSurface: while it allows to use 0 for colour masks to deduce default values, it explicitly don't allow it for alpha channel, so 0 in place of amask results in "I don't want alpha channel, just RGB". Your resulting format is RGB888 packed to 32bit. You want alpha, so you should use correct colour masks - get one from docs, in your case you don't even need to check for endianess, but it never hurts.

To sum it up:

I did't read the entire paper but it think i understand what they are doing.

The document is composed from black charters on a white background a binary image(I don't know how exactly they threshold the image but i think this is the input). Inside those charters there are some small white areas.

1. Calculate the connected component in the image. Lets say you have N of them in the document. Each one of the connected component has a size, the number of pixels the component have. Using the size of the component we can create an histogram which counts the number of components with size 1, 2, ....

2. We are looking for speckles inside charters. The paper defines a small speckle to be a connected component with size of 1 pixel til 1% of the most frequent charter area. The charter area is the font size squared. So you are correct when you state that you will be summing all the bins between 1 and one percent of 32^2

3. They define a small speckle to be a connected component with some small size and specially a size which is equal to 1% of the font size squared. In order to measure how much of speckles you have in a document you just sum all of those connected component that fall into this definition. At the end you normalized it so you have a measurement that can be compared between different documents.

You can disagree with there assumption and think maybe a small speckle should be define entirely different but this was there definition.

Hope i helped a little bit