Presented by
Ioannis Giakoumis, Nikos Nikolaidis, Ioannis Pitas
Department of Informatics
Aristotle University of Thessaloniki


Abstract
An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this paper. The cracks are detected by thresholding the output of the morphological top-hat transform. Afterwards, the thin dark brush strokes which have been mis identified as cracks are removed using either a Median Radial Basis Function (MRBF) neural network on hue and saturation ....etc

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An Optimal Wavelet Based Algorithm for Removal of Power Line Interferences in ECG Signals

Girisha Garg, Shorya Gupta, Vijander Singh, J.R.P. Gupta, A.P.Mittal


Abstract: An optimal denoising algorithm for ECG signals using Discrete Wavelet Transform is described. Statistical analysis is done to determine the best parameters by comparing different types of wavelet functions, decomposition level and threshold selection methods. The algorithm is used to improve the SNR of the ECG contaminated by d ....etc

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Chemical Mechanical Planarization (CMP) is an important process in semiconductor chip fabrication. In the CMP process, excess material is removed and the surface is planarized by the action of chemical and mechanical forces. Shallow Trench Isolation (STI) has become a key technology for device isolation in recent times. In this method, a shallow trench is made on the silicon wafer between active devices, silicon dioxide is deposited over the trench as well as the active area and the excess silicon dioxide is removed by CMP. The oxide remaining ....etc

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Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings
Abstract: An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this project. The cracks are detected by threshold the output of the morphological top-hat transform. Afterward, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing. F ....etc

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Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings

Abstract: An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this project. The cracks are detected by threshold the output of the morphological top-hat transform. Afterward, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing ....etc

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Adaptive bilateral filter for sharpness enhancement and noise removal
Presented By:
Zhang B, Allebach JP.
Texas Instruments, Inc, TX 75243, USA.
Abstract
In this paper, we present the adaptive bilateral filter (ABF) for sharpness enhancement and noise removal. The ABF sharpens an image by increasing the slope of the edges without producing overshoot or undershoot. It is an approach to sharpness enhancement that is fundamentally different from the unsharp mask (USM). This new approach to slope restoration also differs significantl ....etc

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How i impliment Image Processing Techniques for the detection and Removal of cracks in Dizitized Paintings using .Net. ....etc

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