The advancement of non-linear processing methods for generic automatic clarification of turbid imagery has led us from extensions of entirely passive multiscale Retinex processing to a new framework of active measurement and control of the enhancement process called the Visual Servo. In the process of testing this new non-linear computational scheme, we have identified that feature visibility l...

The wavelet multiscale edge representation of signals developed by Mallat and Zhong provides a new tool for signal and image processing. We built up a tree structure of wavelet-transform(WT) maxima and developed metrics for analyzing the WT maxima tree. These metrics fall into two classes corresponding to two perceptual criteria, scaling and spatial stabilities, for discriminating features from...

When the signal in the form of image is processed, it gets distorted and further processing does not provide good results. Hence it is very important to get back the image in its original noise free condition. In this paper we present an image denoising method for noise removal. In this work, a wavelet-based multiscale linear minimum mean square-error estimation (LMMSE) scheme for image denoisi...

CT image De-noising is an important research topic both in image processing and biomedical engineering. Independent component analysis (ICA) is a statistical technique where the goal is to represent a set of random variables as a linear transformation of statistically independent component variables. The curvelet transform as a multiscale transform has directional parameters occurs at all scale...

We introduce a novel class of algorithms for evaluating PIV image pairs. The mathematical basis is a continuous variational formulation for globally estimating the optical flow vector fields over the whole image. This class of approaches has been known in the field of image processing and computer vision for more than two decades but apparently has not been applied to PIV image pairs so far. We...

It is now widely acknowledged that analyzing the intrinsic geometrical features of an underlying image is essentially needed in image processing. In order to achieve this, several directional image representation schemes have been proposed. In this report, we develop the discrete shearlet transform (DST) which provides efficient multiscale directional representation. We also show that the imple...

volume estimation of most agricultural products using mathematical methods is not accurate because of their irregular shape. an alternative method is image processing, which can be used in continuous sorting machines. the objective of this study is to find a practical method for volume estimation of potatoes using image processing. fifty potatoes (marfona variety) were selected as experimental ...

cantaloupe (cucumis melo) volume was measured using water displacement and image processing methods. the volume determined from image processing method was compared to the volume determined by the water displacement method using the paired samples t-test and the bland-altman approach. the paired samples t-test results showed that the volume determined by image processing method was not signific...