Farhat Fnaiech

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In this letter, a new approach for the learning process of multilayer feedforward neural network is introduced. This approach minimizes a modified form of the criterion used in the standard backpropagation algorithm. This criterion is based on the sum of the linear and the nonlinear quadratic errors of the output neuron. The quadratic linear error signal is(More)
In this paper we have proposed a new defect detection algorithm based on local homogeneity and hotteling model to localize defects in various textures images. Firstly, the local homogeneity of each pixel is computed to construct a new homogeneity image denoted as (h-image). Then a wavelet transform, in order to extract features details, is applied. After,(More)
BACKGROUND Color image segmentation has been so far applied in many areas; hence, recently many different techniques have been developed and proposed. In the medical imaging area, the image segmentation may be helpful to provide assistance to doctor in order to follow-up the disease of a certain patient from the breast cancer processed images. The main(More)
Automatic segmentation of stained breast tissue images helps pathologists to discover the cancer disease earlier. Separation of touching cells presents many difficulties to the traditional segmentation algorithms. In this paper, we propose a new automatic method to segment clustered cancer cells. In the first step, we detect cell regions using a modified(More)
A novel method of colour image segmentation based on fuzzy homogeneity and data fusion techniques is presented. The general idea of mass function estimation in the Dempster-Shafer evidence theory of the histogram is extended to the homogeneity domain. The fuzzy homogeneity vector is used to determine the fuzzy region in each primitive colour, whereas, the(More)
Segmentation is the main sensitive problem in the automatic image analysis of histopathology specimens. In the stained breast image tissue, cancer cells present a large variety in their characteristics that bring various difficulties for traditional segmentation algorithms. In this paper, we propose an automatic segmentation method for breast cancer cell(More)
Gabor filtering is a widely applied approach for texture analysis. This technique shows a strong dependence on certain number of parameters. Unfortunately, each variation of values of any parameter may affect the texture characterization performance. Moreover, Gabor filters are unable to extract micro-texture features which also have a negative effect on(More)