LEARN ABOUT IMAGE PROCESSING
Image fusion is a process where two or more images are combined to create a single, more informative or visually enhanced image. This technique is used in various fields like photography, remote sensing, medical imaging, and computer vision.
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The goal of image fusion is to enhance the overall quality of the final image by combining information from multiple sources while retaining the most relevant details.
Feature-Level Fusion: Instead of combining pixel values, this method focuses on merging the features extracted from images. It's often used in computer vision for object recognition and tracking.
Libraries and Frameworks for Machine Learning Image Processing:
OpenCV-Python is a library of Python bindings designed to solve computer vision problems.
Huge library of image processing algorithms
Open Source + Great Community
Works on both images and videos
Java API Extension
Works with GPUs
Cross-Platform
