language-icon Old Web
English
Sign In

Contextual image classification

Contextual image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information in images. 'Contextual' means this approach is focusing on the relationship of the nearby pixels, which is also called neighbourhood. The goal of this approach is to classify the images by using the contextual information.4-connectivity neighbourhood, 8-connectivity neighbourhood Contextual image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information in images. 'Contextual' means this approach is focusing on the relationship of the nearby pixels, which is also called neighbourhood. The goal of this approach is to classify the images by using the contextual information. Similar as processing language, a single word may have multiple meanings unless the context is provided, and the patterns within the sentences are the only informative segments we care about. For images, the principle is same. Find out the patterns and associate proper meanings to them.

[ "Computer vision", "Feature extraction", "Machine learning", "Pattern recognition", "Artificial intelligence", "image classifier", "Bag-of-words model in computer vision", "hyperspectral image classification", "Multispectral image classification", "adaptive discriminant analysis" ]
Parent Topic
Child Topic
    No Parent Topic