pixel

import numpy as np import cv2 import argparse from Computer_Vision.Canny_Edge_Detection.sobel import sobel_edge_detection from Computer_Vision.Canny_Edge_Detection.gaussian_smoothing import gaussian_blur import matplotlib.pyplot as plt def non_max_suppression(gradient_magnitude, gradient_direction, verbose): image_row, image_col = gradient_magnitude.shape output = np.zeros(gradient_magnitude.shape) PI = 180 for row in range(1, image_row - 1): for col in range(1, image_col - 1): direction = gradient_direction[row, col] if (0 <= direction < PI / 8) or (15 * PI / 8 <= direction <= 2 * PI): before

I just want to: 1) Copy the pixel data. 2) Iterate and Modify each pixel (just show me how to NSLog the ARGB values as 255) 3) Create a UIImage from the new pixel data I can figure out the the gory details if someone can just tell me how to NSLog the RGBA values of a pixel as 255. How do I modify the following code to do this? Be Specific Please! -(UIImage*)modifyPixels:(UIImage*)originalImage { NSData* pixelData = (NSData*)CGDataProviderCopyData(CGImageGetDataProvider(originalImage.CGImage)); uint myLength = [pixelData length]; for(int i = 0; i < myLength; i += 4) { //CHANGE PIXELS HERE /*

I am working on a silverlight application, where all my icons are PNGs. The color of all these icons is black, or rather black to gray, depending on the alpha value. Every PNG has a transparent background. Inside my application, I want to do a pixel by pixel color change from black or gray, let's say to red (before black) or light red (before gray). Walking through the bytes of every pixel, I recognized, that every full black pixel has an alpha value of 255. Those, who are gray, have an an alpha value between 1 and 254. An alpha value of 0 seem to be transparent. The RGB values are all 0 for

I've been linked in the past to this response to a similar question on converting WPF pixel coordinates to desktop ones, however I'm not sure I understand the maths involved. Astonish' answer states that "Pixels per WPF Unit = ConstantWPFUnit size * monitor DPI;" and that "The constant WPF unit size is 1/96." In my case, I've taken the DPI from a graphics object which was created from the bitmap object (as I couldn't find the property the Astonish spoke of) that I created after taking a screenshot of the desktop, so I have: Graphics g = Graphics.FromImage(bitmap); float WpfUnit = (1 / 96) * g

I'm drawing an image using rgb pixel data. I need to set transparent background color for that image. What value I can set for alpha to be a transparent image? Or is there any other solution for this? If I understand what you need, you basically want to turn specific colors on an image transparent. To do that you need to use getImageData check out mdn for an explanation on pixel manipulation . Heres some sample code var imgd = ctx.getImageData(0, 0, imageWidth, imageHeight), pix = imgd.data; for (var i = 0, n = pix.length; i <n; i += 4) { var r = pix[i], g = pix[i+1], b = pix[i+2]; if(g > 150)

I have an x,y point coordinate, how would I use this to access a specific point on an IplImage? Thanks Use CV_IMAGE_ELEM CV_IMAGE_ELEM( image_header, elemtype, y, x*N+C ) E.g. given an 8-bit 3 channel (such as RGB) IplImage* img , we want (x,y) on the 2nd channel: CV_IMAGE_ELEM(img, uchar, y, (x * 3) + 1)) OR, you can do this. for more matrix operation, see here. http://note.sonots.com/OpenCV/MatrixOperations.html int col, row, z; uchar b, g, r; for( y = 0; row < img->height; y++ ) { for ( col = 0; col < img->width; col++ ) { //for( z = 0; z < img->nChannels; z++ ) //{ // c = img->imageData