Genetic Approach based Image Retrieval by Using Histogram and Textual Features

Digital content increases in the world where image plays an important role. So getting relevant set of content as per user requirement becomes a major issue. Hence the researcher works on this problem and proposed number of approaches. This paper proposed a genetic algorithm based retrieval of images. Here visual feature histogram was fetched during training with attach annotation from the image. Both this feature value was passed in the genetic algorithm having twice crossover and population updating in one iteration. The resultant of the genetic algorithm is cluster center images, so the dataset is arrange in cluster structure. Experiment was done on real images and results shows that the proposed model was better by fetching relevant images as per user requirements.