Integral Image HOG Feature Function for MATLAB

When I couldn't find a MATLAB version of integral image-based HOG feature function on existing websites, I developed my own implementation. This HOG feature function is designed for image recognition applications and can be directly called within MATLAB projects. During the development process, I conducted thorough research on image recognition theories and algorithms, particularly focusing on Histogram of Oriented Gradients computation using integral images for efficiency optimization. The implementation incorporates key components including gradient computation using Sobel operators, orientation binning with bilinear interpolation, and block normalization using L2-hys method. By creating this feature function, I not only enhanced my programming skills in MATLAB but also deepened my understanding of image processing and recognition techniques. The function utilizes integral images to accelerate feature computation, making it suitable for real-time applications. I'm confident this implementation will serve as a valuable tool for future projects involving image recognition technology, providing an efficient alternative to standard HOG implementations.