Relevance Feedback Technology of Image Retrieval Based on Rough Set and SVM
Xiaokang Ren · Journal of Jiamusi University · 2010
Through the effective organization of rough set theory reduction algorithm and the classification of support vector Machine algorithm,with the user's feedback marking to improve image retrieval recall and precision,so that the retrieval of the image is more in line with the objectives of the user's semantic features.Since the introduction of rough set theory to image retrieve which eliminated the redundant properties and improved the image retrieval time complexity.The combination of SVM and feedback reduced the disaster of dimensions,also reduced the difficulty caused by low-rise features and high-level semantic.