Image Processing Based on Support Vector Machines

This study explores image classification implementation using Libsvm, focusing on object classification with five fruit categories as research subjects. The workflow involves collecting image samples (primarily web-sourced), image preprocessing (e.g., resizing to uniform dimensions), feature vector extraction, Libsvm-based model training, and classification testing, with code-level descriptions of key algorithms and implementation approaches.