I need to do image processing to inverse a stretching that is caused by object movement while camera is taking picture.

I am trying to remove raindrops from an image using OpenCV in Python. The image is a cartoon-style outdoor scene with trees, clouds, a pond, and a green landscape. Raindrops are drawn across the scene in white streaks. After applying an inpainting algorithm, the quality of the image decreases, and the pond in the center of the image appears to split into two parts.

I performed image preprocessing to obtain a good image for text extraction, but after applying the adaptiveThreshold process, I found that the characters were incomplete. For example, some pixels were too large, some were too small, and some were missing, resulting in characters that were incomplete and unclear.

Heatmap with Road (sample):

Heatmap with Road (sample)I have the following image (see below) wich is only one out of many images which all have a central part, a kind of road which needs to be identified. What would be the best approach to identify these roads and get their cooridnates. Roads can be straight have left or right curves. Also there can be some disturbances or noise on the left or right borders of the image. All images have the same size and I have the underlying signal structure which makes these images up.

I am using OpenCV and Python to work on a project that involves tracking defects on a surface, and I am using binary images to find defects and draw a rectangle around it. The application uses advanced edge detection algorithms to identify defects in the images. Once detected, each defect is highlighted with a defect […]

I am facing a small (big) problem: I want to generate a high resolution speckle pattern and save it as a file that I can import into a laser engraver. Can be PNG, JPEG, PDF, SVG, or TIFF.

I have an image like this:-

I am working with image (using Python and OpenCV), that is unwrapped view of pipe internals. Imagine you put camera inside the pipe, and it turns 360* taking a panorama photo. The outcome picture would have it’s left and right side, but in reality, those edges touch each other.

Link to image