The accurate identification of the appearance of blood vessels in ocular fundus plays an important role in medical diagnosis of many diseases. The automated segmentation is helpful for eye care specialists to screen larger populations In contrast to the existing methods for computer aided diagnosis which, we propose a novel scheme which combines multiscale analysis and adaptive thresholding for...

In this paper, a pop-click noise detection method is proposed to improve the quality of audio signals recorded using portable microphones. In order to reduce false alarm and missing detection errors, the proposed method utilizes the second-order difference of an uncorrelated residual signal, followed by adaptive median thresholding. It is shown from performance evaluation that the proposed meth...

We consider a nonparametric regression model where m noiseperturbed functions f1, . . . , fm are randomly observed. For a fixed ν ∈ {1, . . . ,m}, we want to estimate fν from the observations. To reach this goal, we develop an adaptive wavelet estimator based on a hard thresholding rule. Adopting the minimax approach under the mean integrated squared error over Besov balls, we prove that it att...

Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same quality of binarization as the Sauvola method, but runs in time close to that of global thresholding methods (like Otsu’s method), independent of the window size. The algorithm combines the statistical constraints of Sauvo...

In this paper we present a system for preserving the privacy of individuals in a video surveillance scenario. While a person’s privacy should not be revealed to a viewer of the video without special needs, it is still important that the action in a scene as the semantic content of a video remain perceivable by a human observer. The proposed system uses edge detection and adaptive thresholding i...

A novel speckle reduction technique based on soft thresholding of wavelet coefficients using interval type II fuzzy system was developed for reducing speckle noise in Optical Coherence Tomography images. The proposed algorithm is an extension of a recently published method for filtering additive Gaussian noise by use of type I fuzzy system. Unlike type I, interval type II fuzzy based thresholdi...

In this paper, computer-aided detection of microcalcifications by multiresolution is performed. We firstly present methods of enhancement of mammograms. A combination of these methods is proposed and makes more obvious the features of the image. The second part of this paper deals with the multiscale image processing for detection of microcalcifications by wavelet and wavelet packets. For the w...