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Magnetic Resonance Imaging (MRI) results in overall quality that usually calls for human intervention in order to correctly identify details present in the image. More recently, interest has arisen in automated processes that can adequately segment medical image structures into substructures with finer detail than other efforts to-date. Relatively few image processing methods exist that are considered...
A new noise removal algorithm based on improved neural network, is applied to remove the impulse noise of the digital images. First of all, an improved neural network is used to detect the noise-pixels and distinguish it from noise-free pixels efficiently; Second, the noise-pixels are replaced further by the suitable pixel which has the most local similarity; Finally, the output is the combination...
A THz image edge detection approach based on wavelet and neural network is proposed in this paper. First, the source image is decomposed by wavelet, the edges in the low-frequency sub-image are detected using neural network method and the edges in the high-frequency sub-images are detected using wavelet transform method on the coarsest level of the wavelet decomposition, the two edge images are fused...
In this paper, an improved neural network is applied to CCD noise removal in digital image. According to the characteristics of the nonlinear response function in the CCD camera, the denoising scheme is based on the adaptive window sizes and parameter of the filter. The improved NN both approaches to CCD PTC (photon transfer curve) and classifies it in nonlinearity and assigns the optimum coefficient...
Process burning coal powder in boiler is in very complex suspension combustion and very unstable, monitoring system image includes a lot of noise signals from difference hands. In this chapter, compose of furnace flame monitoring system is introduced, the new method called as fast median filter for elimination image noise and special boundary detection algorithm based on neural network technique for...
Diabetic-retinopathy contributes to serious health problem in many parts of the world. With the motivation of the needs of the medical community system for early screening of diabetics and other diseases a computer aided diagnosis system is proposed. This work is aimed to develop an automated system to analyze the retinal images for important features of diabetic retinopathy using image processing...
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