Unsupervised Color - Based Image Recognition Using a Lab Feature Extraction Technique

We propose an automatic content-based image recognition technique in this paper using color features. Our intention is to cluster a set of digital images in several categories on the color similarity basis. The images are processed using LAB color space in the feature extraction stage. The resulted color-based feature vectors are clustered using an automatic unsupervised classification algorithm. Some experiments based on the proposed recognition technique have also been performed. The described recognition method can further be applied in content-based indexing and retrieval (CBIR) domains.