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Titlebook: Image Processing & Communications Challenges 6; Ryszard S. Choraś Conference proceedings 2015 Springer International Publishing Switzerlan

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Discovering Important Regions of Cytological Slides Using Classification Treee huge amounts of raw data significantly increase the time required by specialist to analyze them. As a result, we obtain a time-consuming diagnostic process and reduction of the number of patients being diagnosed. The paper presents a method of discovering regions of the cytological image, which ar
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Gaussian Mixture Model Based Non-Local Means Technique for Mixed Noise Suppression in Color Imagesme is based on the application of the Bilateral Filter in order to address the problem of impulse noise reduction by determining the rate of region homogeneity, for calculating the weights needed for the Non-Local Means (.) averaging operation. Gaussian Mixture Model approach is applied for determin
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Automatic Classification of Tahitian Pearlsparameters such as colour, form or lustre. In this paper we present our ongoing work to implement an automatic classification of Tahitian pearls out of images. For this purpose different image segmentation and machine learning methods are used. In the following sections we explain our methodology, s
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Noise Reduction in Ultrasound Images Based on the Concept of Local Neighborhood Explorationf the bilateral denoising scheme and is based on the concept of local neighborhood exploration. The proposed filtering design, like the bilateral filter, takes into account the similarity of pixels intensities together with their spatial distance, and the filter output is calculated as a weighted av
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