hi. i am master student. i'm work in a project about breast cancer. i want to use maximum entropy principle for image fuzzification but i dont know ,how to start it. please help me if you know something about it.
thank u
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The attributes of the mind of the present work are the image recovery using blurred approach and relevancy feedback by the attention of the question image and resembling images in the database. In the first one, the characteristics of color (hue) and saturation (S) for each image are quantified to 20 compartments by means of the diffuse media C algorithm (FCM). Then, the characteristic vectors for each image become diffuse using the KNN algorithm and for the corresponding image the 20 Gaussian functions have been considered. The dispersion of data around each image from the point of view of the features by help of the covariance matrix of each image is caused by the recovery of similar samples become excellent. The key point of this paper is a new approach to relevancy of relevancy. In the feedback of relevance by attention weighting of semantic groups of image by user, the weight of image that belongs to each semantic group is changed. The results obtained in an image database show that our accuracy of approximation to the number iteration with respect to is better.