Automatic Feature Weight Assignment Based on Image Retrieval Using Genetic Algorithm
Purichaya Srisook, Kata Praditwong · Advanced materials research · 2014
The work proposes the new method to increase an efficiency of a Content-based Image Retrieval (CBIR) system. For combining many image features, the optimal weight of each feature is required. To find the optimal value of the feature, this work uses Genetic Algorithm (GA). An image is represented as color, shape and texture features. The experiment compares the results from the system with equal weight values and the system with the weights provided by GA. Evaluation shows the robustness and efficiency of the proposed technique.