Content-Based Cartoon Images Retrieval

Cartoon images play essential roles in our everyday lives especially in entertainment, education, and advertisement that become an increasingly intensive research in the field of multimedia and computer graphics. Cartoon image retrieval is bedrock of producer's new cartoon videos, particularly when provides initial planning to be elevated in so as to identify their intention of artistic. Today, a number of researchers have exploited the concepts related to content based images retrieval (CBIR) to search for cartoon images containing particular object(s) of interest. This work aims to design content-based retrieval system for cartoon images. The proposed images retrieval system consists of four basic stages ¿(image quantization, object extraction, feature extraction and similarity matching). The system extracts features for the query image which is a percentage of each index value (dominant color), cluster values for three bands of quantization image (RGB), and the weight of each index values depends on its location in the image, then compares it with the images features in database system in similarity matching stage and then the top 10 images are retrieved as results.