IMAGE PROCESSING AND OBJECT CLASSIFICATION

摘要

A method for classifying objects from one or more images comprising the steps of: generating a trained classification process wherein the generation comprises the steps of extracting features from one or more training images and clustering said features into one or more groups of features termed visual words; storing data for each of said visual words, including colour and texture information, as descriptor vectors; and generating a vocabulary tree to store clusters of visual words with common characteristics; and using the trained classification process to classify objects in said one or more images wherein the usage comprises the steps of extracting features from said one or more images and clustering said features into groups of features termed visual words; searching the vocabulary tree to determine the closest matching clusters of visual words; and classifying objects based on the closest matching clusters of visual words in the vocabulary tree.