Mir A H
Department of Electronics and Communication Engineering, National Institute of Technology, Srinagar, Jammu and Kashmir, 190 006, India.
J Med Eng Technol. 2007 May-Jun;31(3):220-31. doi: 10.1080/03091900600824374.
In certain radiographic images, fuzziness exists due to the vague nature of image characteristics and limitations of visual perception. Accordingly, a gap exists between the information content of an image and the information that can be retrieved. In this paper, a new fuzzy logic based intensification operator has been proposed for enhancement of images. For applying the operator effectively, selection of crossover point is critical. In this paper, the concept of fuzzy entropy has been proposed for objective selection of crossover point. Owing to semantic nature of information content, the methodology has a provision to change levels of enhancement interactively, to help in retrieving the information as required. The effectiveness of the methodology has been demonstrated. Comparison of the results with the Zadeh's INT operator and conventional histogram equalization techniques has established its superiority.
在某些射线图像中，由于图像特征的模糊性和视觉感知的局限性，存在模糊现象。因此，图像的信息内容与可检索的信息之间存在差距。本文提出了一种基于模糊逻辑的新型增强算子用于图像增强。为了有效应用该算子，交叉点的选择至关重要。本文提出了模糊熵的概念用于交叉点的客观选择。由于信息内容的语义性质，该方法提供了交互式改变增强水平的功能，以帮助根据需要检索信息。已证明该方法的有效性。将结果与扎德的INT算子和传统直方图均衡技术进行比较，证实了其优越性。
