a uniform data structure that can represent an ndarray with various size along a given axis
I can use the following code to generate three dimensional array.
computer-vision
How to detect an object that blends with the background?
I am a beginner and I am trying to apply an outline to the white remote control on the left that shares the same color with the background.
How to clean images before OCR with Python OpenCV?
I’ve been trying to clear images for OCR: (the lines)
How to remove convexity defects in a Sudoku square?
I was doing a fun project: Solving a Sudoku from an input image using OpenCV (as in Google goggles etc). And I have completed the task, but at the end I found a little problem for which I came here.
Simple Digit Recognition OCR in OpenCV-Python
I am trying to implement a “Digit Recognition OCR” in OpenCV-Python (cv2). It is just for learning purposes. I would like to learn both KNearest and SVM features in OpenCV.
How to isolate everything inside of a contour, scale it, and test the similarity to an image?
I’m working on a project just for fun, and my goal is to play online poker and have the program identify the cards that are on the table. I am using OpenCV with python to isolate the area where the cards are going to be. I have been able to take an image of that area, grayscale and threshold it, and draw a contour around the edge of the card. I am now stuck on how to move forward.
Image comparison algorithm
I’m trying to compare images to each other to find out whether they are different. First I tried to make a Pearson correleation of the RGB values, which works also quite good unless the pictures are a litte bit shifted. So if a have a 100% identical images but one is a little bit moved, I get a bad correlation value.
Removing Horizontal Lines in image (OpenCV, Python, Matplotlib)
Using the following code I can remove horizontal lines in images. See result below.
OpenCV: Choosing HSV thresholds for color filtering
In order to filter a color out of an image, it’s necessary to set boundaries as to which color needs to be detected. I have a feeling this is mostly a trial-and-error process. Are there any ways to quickly find the correct thresholds for a particular color? In this specific case I’m trying to detect the gray area of the graph in the picture below. This without detecting the dotted lines of course. For this example I need very specific boundaries. The question is, how can I find them easily?
Segmenting License Plate Characters
I am facing a problem in segmenting characters from a license plate image.
I have applied following method to extract license plate characters”