![]() ![]() ' ' Remember a 5X5 area on or near the edge will ask ' for pixels that don't ' exist in our image, this will filter those out. ' Find the color for each pixel and add it to a new array. Private Function Average( ByVal Size As Size, ByVal imageSize As SizeF, _īyVal PixelX As Integer, ByVal Pixely As Integer) As Colorĭim x As Integer, y As Integer Dim bmp As Bitmap = Here is a full example of the program I built that does this gausianesk blurring. Note the object must be transparent for this to work! Putting it all together Using the same technique as before we can test to see if the pixel is not solid and send it to our blur function thus blurring the alpha channels or edges of the object. For this reason you can load up a transparent gif and check the alpha channel of every pixel and get an outline of the solid parts of the image. The second square is 50% solid or (127.5) and the last square is completely transparent with an alpha of 0% or (0).Īlpha channels are used most commonly in GIF, PNG and ICO files. The first square is solid and the alpha channel is set to 255. In the above all three squares are red but the alpha channels are different. What is an alpha channelĪn alpha channel is a color channel that represents the transparency of that color. Then when its done it will return a color with the averages of all the colors, This resulting color is what you set that pixel (1, 1) to. This will loop the collection of pixels adding up the color channels as it goes along. Next Return Color.FromArgb(alpha / pixels.Count, _ ![]() As I have demonstrated above the 3X3 sample of pixels for (1,1) will render five points that don't exist.ĭim alpha As Integer = 0 Dim red As Integer = 0 Dim green As Integer = 0 Dim blue As Integer = 0 For Each thisColor In pixels The first thing we need to do is have a function that weeds out those pesky pixels that don't exist. Instead of blurring two pixels lets take a greater sampling and average a 3X3 group of pixels, this will give you a better blur effect. Congrats, you just made a blur! Actually it resembles more of a streak. ![]() So lets say pixel (1, 1) is red and pixel (2, 1) is green, we mix then and set pixel (1, 1) to the resulting color, yellow. So in essence what we are doing is taking these "color channels" and averaging them with the next pixel. ![]() I will try to break this concept down and reduce it to bear bones for you.Īn image is just a 2D array of colors, and we "could" represent an image in an array, like so:įor PixelX = 0 To Image.Width - 2 For PixelY = 0 To Image.Height - 2 Dim Color1 As Color = Image.getpixel(PixelX, PixelY)ĭim Color2 As Color = Image.getpixel(PixelX + 1, PixelY)Įach color (for our purposes here) is made up of four values A = Alpha, R = Red, G = Green, B = Blue. Until you really think about it, it can seem like a really complex issue when in reality it is no harder then that address book program everyone wrote in school (Many eon's ago, in pascal). Image stuff has always made me step back and say ouch. The reason it isn't exactly the same as the real mccoy is it doesn't take into account a transform matrix, so as a result the colors all have the same weighted values (but you can't really tell a difference). So (yet again) I decided to roll my own solution of creating a gausian blur (like) function. Unfortunately, there is nothing like this in the standard GDI+ functions. I was contemplating how to accomplish my goal when I though "What I need here is a gausian blur function". My objective here was to write something to un fray the edges. What ends up happening is edges of the icon get frayed. A problem creeps up when the user resizes a lowres icon to a larger size. In my icon project I deal extensively with icons. You can simply upload your own design picture in the foreground and choose your icon's background color.Īdd the following code in your AndroidManifest.xml within the app folder.I created this as a part of my icon builder project. EasyAppIcon helps the developer to resize and create your own Android App Icon, including legacy and adaptive app icon. ![]()
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