Gradient Histogram

Gradient histograms, particularly Histogram of Oriented Gradients (HOG), are used in image processing and machine learning to extract features representing image content, enabling efficient object detection and classification. Current research focuses on applying HOG features within various machine learning models, such as Support Vector Machines (SVM) and gradient boosting classifiers, to improve performance in diverse applications like disease detection in agriculture and malicious URL identification. This approach offers significant advantages in speed and accuracy for real-time applications, impacting fields ranging from computer vision to cybersecurity.