This article will explore some of the most commonly used image processing libraries in Python within the professional field. OpenCV ... using Python include image segmentation, object detection ...

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

This chapter discusses the basic steps involved in defect detection using image processing along with existing systems that use machine learning and artificial intelligence for the detection of ...

Real-time facial emotion detection using OpenCV and DeepFace. This lightweight application captures video from a webcam, detects faces, and predicts the associated emotion using pre-trained deep ...

Abstract: This field of target tracking is relatively mature when the camera is stationary but the moving sensor poses uniquely challenging problems because relative to the camera, everything in the ...

This project focuses on various image processing techniques using OpenCV, including noise addition, filtering, edge detection, thresholding, histogram analysis, and hybrid image creation. The results ...