image-processing

问题 I would like to fade the color of a pixel out toward white, but obviously maintain the same color. If I have a pixel (200,120,40) , will adding 10 to each value to make (210,130,50) make it the same color, just lighter, or will it change the color entirely? For example, I know that (100,100,100) going to (110,110,110) is a greyscale fade. I would like the same with RGB values and I would like to do it numerically, as indicated. Is there an equation to do so? 回答1: There are a bunch of ways to

问题 This question already has answers here : fast converting Bitmap to BitmapSource wpf (2 answers) Closed 4 years ago . I'm programming in WPF(c#) for image processing purpose. What is fastet way for converting Bitmap to ImageSource ? 回答1: Try converting it to a BitmapImage first: public BitmapImage ConvertBitmap(System.Drawing.Bitmap bitmap) { MemoryStream ms = new MemoryStream(); bitmap.Save(ms, System.Drawing.Imaging.ImageFormat.Bmp); BitmapImage image = new BitmapImage(); image.BeginInit();

问题 I'd like to digitize a heatmap, Panel D in this source image As a first step, I tried to read the image in opencv and obtain a matrix import cv2 from pprint import pprint def read_as_digital(image): # mage dimensions h = image.shape[0] w = image.shape[1] print(h, w) pass if __name__ == '__main__': image = cv2.imread('ip.jpg', 1) pprint(image) read_as_digital(image) I could read the image as a matrix, but I don't know how to specify the beginning of the cells (corresponding to different

问题 I'd like to digitize a heatmap, Panel D in this source image As a first step, I tried to read the image in opencv and obtain a matrix import cv2 from pprint import pprint def read_as_digital(image): # mage dimensions h = image.shape[0] w = image.shape[1] print(h, w) pass if __name__ == '__main__': image = cv2.imread('ip.jpg', 1) pprint(image) read_as_digital(image) I could read the image as a matrix, but I don't know how to specify the beginning of the cells (corresponding to different

问题 I am writing a code on Jupyter notebook using python to recognize the number on the device with 7segment(FND). I used opencv and got the edge of the image. import cv2 import matplotlib.pyplot as plt def detect_edge(image): ''' function Detecting Edges ''' image_with_edges = cv2.Canny(image , 100, 200) images = [image , image_with_edges] location = [121, 122] for loc, img in zip(location, images): plt.subplot(loc) plt.imshow(img, cmap='gray') plt.savefig('edge.png') plt.show() image = cv2

问题 I am trying to work on a small webbased Image editor with .NET . I am having issue with JPEG image resize.As I understand there is no way to manipulate JPEG without loosing some quality and saw this as only way to do it . Resizing an image in asp.net without losing the image quality . In this sample target image is saved as a png . So What I want to do is 1. When user uploads image save it as PNG 2. Manipulate it like resize rotate etc 3. Save it as JPEG If I save that png as a jpeg will that

问题 I want to remove anything other than text from a license plate with a binary filter. I have the projections on each axis but I don't know how to apply it. My idea is to erase the white outlines. This is the image I'm working for now: This is the projection in Axis X: from matplotlib import pyplot as plt import pylab (rows,cols)=img.shape h_projection = np.array([ x/255/rows for x in img.sum(axis=0)]) plt.plot(range(cols), h_projection.T) And this is the result: As you can see in the graph, at

问题 I want to remove anything other than text from a license plate with a binary filter. I have the projections on each axis but I don't know how to apply it. My idea is to erase the white outlines. This is the image I'm working for now: This is the projection in Axis X: from matplotlib import pyplot as plt import pylab (rows,cols)=img.shape h_projection = np.array([ x/255/rows for x in img.sum(axis=0)]) plt.plot(range(cols), h_projection.T) And this is the result: As you can see in the graph, at

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 5 months ago . Improve this question I am building a pyramid of images. First I take a big picture and build a smaller one even smaller, etc. I use interpolation to reduce the image. And I need to understand at what interpolation there will be less lost information between images. This is

问题 I am trying to set the label in a java program to an image. It seems, however, that it does not work for .bmp images I am looking for a converter which will allow me to convert an image from a .bmp to a .jpg with the same file name. This converter needs to be controlled by the java program, which has the name and location of the image that needs to be converted. Any help would be greatly appreciated as I have spent hours on this :P Thanks *Edit: The program needs to be able to be packaged