I am using pixel colour inspection to detect collisions. I know there are other ways to achieve this but this is my use case.
I draw a shape cloned from the main canvas on to a second canvas switching the fill and stroke colours to pur black. I then use getImageData() to get an array of pixel colours and inspect them - if I see black I have a collision with something.
However, some pixels are shades of grey because the second canvas is applying antialiasing to the shape. I want only black or transparent pixels.
How can I get the second canvas to be composed of either transparent or black only?
I have achieved this long in the past with Windows GDI via compositing/xor combinations etc. However, GDI did not always apply antialiasing. I guess the answer lies in globalCompositeOperation or filter but I cannot see what settings/filters or sequence to apply.
I appreciate I have not provided sample code but I am hoping that someone can throw me a bone and I'll work up a snippet here which might become a standard cut & paste for posterity from that.
Related
A solution to this problem seems to not exist but I find it hard to believe it is not possible.
Imagine you have an image with a semi-transparent overlay (color=black, transparency=50%), whether over the whole image or just a portion, doesn't matter. How could one convert the pixels underneath to their original color, in essence removing the black overlay.
Just like a simple algebra equation we should be able to rearrange the variables to solve for the "original pixels" under the overlay. Something along the lines of -
original pixels * semi-transparent overlay = new pixelsoriginal pixels = semi-transparent overlay / new pixels
Obviously such an equation over simplifies the problem but I think that gets my point across. Since we know the color and percent transparency, why couldn't we "retrieve" the colors of the underlying pixels?
EDIT: Mark Ransom in the comments is correct, if you know the transparency is 50% then simply multiplying by 2 gets you to the original color. Any recommendations on how to apply this to a whole region in Photoshop or GIMP? Certainly doing it pixel by pixel is out of the question.
Thank you!
The "divide" layer mode will do what you want. In the case of semi-transparent black, use a gray with the value equal to the opacity value of the overlayed layer.
I need to add this classic effect which consist in highlighting a 3D model by stroking the outlines, just like this for example (without the transparent gradiant, just a solid stroke) :
I found a way to do this here which seems pretty simple and easy to implement. The guy is playing with the stencil buffer to compute the model shape, then he's drawing the model using wireframes and the thickness of the lines is doing the job.
This is my problem, the wireframes. I'm using OpenGL ES 2.0, which means I can't use glPolygonMode to change the render mode to GL_LINE.
And I'm stuck here, I can't find any simple alternative way to do it, the most relevant solution i found for the moment is to implement the wireframe rendering myself, which is clearly not the easiest solution. To draw my objects I'm using glDrawElements with GL_TRIANGLES as primitive, I tried to use GL_TRIANGLE_STRIP as primitive but the result is definetely not the right one.
Any idea/trick to bypass the lack of glPolygonMode with OpenGL ES? Thanks in advance.
Drawing Outline or border for a Model in OpenGL ES 2 is not straight forward as the example you have mentioned.
Method 1:
The easiest way is to do it in multiple passes.
Step 1 (Shape Pass): Render only the object and draw it in black using the same camera settings. And draw all other pixels with different color.
Step 2 (Render Pass): This is the usual Render pass, where you actually draw the objects in real color. This every time you a fragment, you have to test the color at the same pixel on the ShapePass image to see if any of the nearby 8 pixels are different in color. If all nearby pixels are of same color, then the fragment does not represent a border, else add some color to draw the border.
Method 2: There are other techniques that can give you similar effects in a single pass. You can draw the same object twice, first time slightly scaled up with a single color, and then with real color.
I am designing a more powerful color picker for Qt and looking for some advice. How would one go about generating fast real-time color rectangles such as the ones found in Photoshop (for HSB and RGB). I was originally thinking of using QImage and scanline to calculate all the pixels individually but this would probably be too slow.
I was thinking it would be better to write an OpenGL shader. As I can recall you can assign colors to vertices and it would interpolate the changes for you. I just have no idea how this would be done in Qt or if this is even worth the effort.
I am using QGraphicsView to display the rectangle. Any advice would be appreciated.
Ok so looking into QGradients a bit more could you not use multiple QGradient to create the effect you need?
For the last of the 3 examples you could create a single gradient with multiple stops for the colours themselves then overlay this with a QGradient of black (alpha 0) to black (alpha 255) with apropriate stops to get the gradient to come in at the right point.
I am working on a simple painting app using LibGDX, and I am having trouble getting it to "paint" properly with the setup I am using. The way I am trying to do this is to draw with sprites, and add these individual sprites into a background texture, using LibGDX's FBO commands, when it is appropriate.
The problem I am having is something relating to blending, in that when the sprites are added to this texture that I am building, any transparent pixels of the sprite that are on top of pixels that have been drawn to previous will be brightened up substantially, which obviously doesn't look very good. The following is what the result looks like, using a circle with a green>red gradient as the "brush". The top row is part of the background texture now, while the bottom one is still in its purely sprite drawn form.
http://i238.photobucket.com/albums/ff307/Muriako/hmm.png
Basically, the transparent areas of each sprite are brightening anything below them, and I need to make them completely transparent. I have messed around with many different blending mode combinations and couldn't find one that was any better. GL_SRC_ALPHA,GL_ONE_MINUS_SRC_ALPHA for example did not have this problem, but instead the transparent pixels of each sprite seem to be lowered in alpha and even take on some of the color from the layer below, which seemed even more annoying.
I will be happy to post any code snippets on request, but my code has become a bit of mess since I started trying to fix these problems, so I would rather only put up the necessary bits as necessary.
What order are you drawing the sprites in? Alpha blending only works with respect to pixels already in the target, so you have to draw all alpha-containing things (and everything "behind" them) in Z order to get the right result. I'm using .glBlendFunc(GL10.GL_SRC_ALPHA, GL10.GL_ONE_MINUS_SRC_ALPHA);
Using images of articles of clothing taken against a consistent background, I would like to make all pixels in the image transparent except for the clothing. What is the best way to go about this? I have researched the algorithms that are common for this and the open source library opencv. Aside from rolling my own or using opencv is there an easy way to do this? I am open to any language or platform.
Thanks
If your background is consistend in an image but inconsistent across images it could get tricky, but here is what I would do:
Separate the image into some intensity/colour form such as YUV or Lab.
Make a histogram over the colour part. Find the most occuring colour, this is (most likely) your background (update) maybe a better trick here would be to find the most occuring colour of all pixels within one or two pixels from the edge of the image.
Starting from the eddges of the image, set all pixels that have that colour and are connected to the edge through pixels of that colour to transparent.
The edge of the piece of clothing is now going to look a bit ugly because it consist of pixels that gain their colour from both the background and the piece of clothing. To combat this you need to do a bit more work:
Find the edge of the piece of clothing through some edge detection mechanism.
Replace the colour of the edge pixels with a blend of the colour just "inside" the edge pixel (i.e. the colour of the clothing in that region) and transparent (if your output image format supports that).
If you want to get really fancy, you increase the transparency depending on how much "like" the background colour the colour of that pixel is.
Basically, find the color of the background and subtract it, but I guess you knew this. It's a little tricky to do this all automatically, but it seems possible.
First, take a look at blob detection with OpenCV and see if this is basically done for you.
To do it yourself:
find the background: There are several options. Probably easiest is to histogram the image, and the large number of pixels with similar values are the background, and if there are two large collections, the background will be the one with a big hole in the middle. Another approach is to take a band around the perimeter as the background color, but this seems inferior as, for example, reflection from a flash could dramatically brighten more centrally located background pixels.
remove the background: a first take at this would be to threshold the image based on the background color, and then run the "open" or "close" algorithms on this, and then use this as a mask to select your clothing article. (The point of open/close is to not remove small background colored items on the clothing, like black buttons on a white blouse, or, say, bright reflections on black clothing.)
OpenCV is a good tool for this.
The trickiest part of this will probably be at the shadow around the object (e.g. a black jacket on a white background will have a continuous gray shadow at some of the edges and where to make this cut?), but if you get this far, post another question.
if you know the exact color intensity of the background and it will never change and the articles of clothing will never coincide with this color, then this is a simple application of background subtraction, that is everything that is not a particular color intensity is considered an "on" pixel, one of interest. You can then use connected component labeling (http://en.wikipedia.org/wiki/Connected_Component_Labeling) to figure out seperate groupings of objects.
for a color image, with the same background on every pictures:
convert your image to HSV or HSL
determine the Hue value of the background (+/-10): do this step once, using photoshop for example, then use the same value on all your pictures.
perform a color threshold: on the hue channel exclude the hue of the background ([0,hue[ + ]hue, 255] typically), for all other channels include the whole value range (0 to 255 typically). this will select pixels which are NOT the background.
perform a "fill holes" operation (normally found along blob analysis or labelling functions) to complete the part of the clothes which may have been of the same color than the background.
now you have an image which is a "mask" of the clothes: non-zero pixels represents the clothes, 0 pixels represents the background.
this step of the processing depends on how you want to make pixels transparent: typically, if you save your image as PNG with an alpha (transparency) channel, use a logical AND (also called "masking") operation between the alpha channel of the original image and the mask build in the previous step.
voilà, the background disappeared, save the resulting image.