Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is...

We propose a hybrid multiobjective (MO) evolutionary optimization algorithm (MOEA) for intensity modulated radiotherapy inverse planning and apply it to optimize the number of incident beams, their orientations and intensity profiles. The algorithm produces a set of efficient solutions, which represent different clinical tradeoffs and contains information such as variety of dose distributions a...

Frequency histograms are ubiquitous, being practically used in any field of science. In this paper, we present a partial order for frequency and, to our knowledge, no kind has been yet defined. This is based on the stochastic discrete probability distributions and it invariance properties that make unique. First, model histogram as sequence bins associated with (or relative frequency) distribut...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...