image-processing

问题 I am scanning old photos, so I have the image and a white background from the scanner. My aim is to take the picture, removing the white background. How can I do that ? An example picture is the following: My simple approach: import os import time from PIL import Image from collections import Counter import numpy as np def get_cropped_image(image, crop_folder, threshold): image_name = image.split("\\")[-1] im = Image.open(image) pixels = im.load() width, height = im.size rows = [] for h_index

问题 I am scanning old photos, so I have the image and a white background from the scanner. My aim is to take the picture, removing the white background. How can I do that ? An example picture is the following: My simple approach: import os import time from PIL import Image from collections import Counter import numpy as np def get_cropped_image(image, crop_folder, threshold): image_name = image.split("\\")[-1] im = Image.open(image) pixels = im.load() width, height = im.size rows = [] for h_index

问题 I just spent an infuriating day trying to make a gif out of a series of jpg files in R. I installed ImageMagick to run the following code: system("convert -delay 40 *.png example_4.gif") but I get the following error message: Warning message: running command 'convert -delay 40 *.png example_4.gif' had status 4 which looks like a path error. Now I've looked for convert in the Imagemagick download and can't see it anywhere. Does anyone know where it is? Alternately, is there another easier

问题 I just spent an infuriating day trying to make a gif out of a series of jpg files in R. I installed ImageMagick to run the following code: system("convert -delay 40 *.png example_4.gif") but I get the following error message: Warning message: running command 'convert -delay 40 *.png example_4.gif' had status 4 which looks like a path error. Now I've looked for convert in the Imagemagick download and can't see it anywhere. Does anyone know where it is? Alternately, is there another easier

问题 I want to put/wrap images to 3D objects. To keep things simple and fast, instead of using(and learning) a 3D library I want to use mapping images. Mapping images are used in such a way: So you generate the mapping images once for each object and use the same mapping for all images you want to wrap. My question is how can I generate such mapping images (given the 3D model)? Since I don't know about the terminology my searches failed me. Sorry if I am using the wrong jargon. Below you can see a

问题 I want to put/wrap images to 3D objects. To keep things simple and fast, instead of using(and learning) a 3D library I want to use mapping images. Mapping images are used in such a way: So you generate the mapping images once for each object and use the same mapping for all images you want to wrap. My question is how can I generate such mapping images (given the 3D model)? Since I don't know about the terminology my searches failed me. Sorry if I am using the wrong jargon. Below you can see a

问题 If I have a list of images represented by 3D ndarray such as [[x,y,color],...] , what operations can I use to output an image with values that are median of all values? I am using a for loop and find it too slow. 回答1: You said your images in color, formatted as a list of 3d ndarrays . Let's say there are n images: imgs = [img_1, ..., img_n] Where imgs is a list and each img_i is a an ndarray with shape (nrows, ncols, 3) . Convert the list to a 4d ndarray, then take the median over the

问题 If I have a list of images represented by 3D ndarray such as [[x,y,color],...] , what operations can I use to output an image with values that are median of all values? I am using a for loop and find it too slow. 回答1: You said your images in color, formatted as a list of 3d ndarrays . Let's say there are n images: imgs = [img_1, ..., img_n] Where imgs is a list and each img_i is a an ndarray with shape (nrows, ncols, 3) . Convert the list to a 4d ndarray, then take the median over the

问题 I'm scanning a lot of A3 documents using a standard Brother A3 Multifunction and then use FineReader Pro for OCR'ing the images. However, I'm getting a lot of errors in the characters recognized, and lots of non-alphanumeric strange characters. Can someone give me any tips for programmatically improving the OCR accuracy, either pre-processing on the scanned images, or post-processing on the recognized text? Edit: Find a sample pdf. It includes some sample images from which I get the poorest

问题 I'm scanning a lot of A3 documents using a standard Brother A3 Multifunction and then use FineReader Pro for OCR'ing the images. However, I'm getting a lot of errors in the characters recognized, and lots of non-alphanumeric strange characters. Can someone give me any tips for programmatically improving the OCR accuracy, either pre-processing on the scanned images, or post-processing on the recognized text? Edit: Find a sample pdf. It includes some sample images from which I get the poorest