The multiple active contours (snakes) are widely used in image processing to extract the feature of interest. However, initialization of the active contours is still an open problem. This paper proposes a new completely automatic initialization of snakes based on a combination of Phrase Portrait Analysis (PPA), K-means clustering and multi-stage evolution of the active contours. The proposed me...

The author presents an automatic texture analysis image processing technique for determining the differentiation status of stem cells in time-lapse data. Haralick texture features, and their prerequisite gray-level co-occurrence matrices, were used to quantify texture samples, linear discriminant analysis for dimensionality reduction while preserving class discrimination, and support vector mac...

⎯ Quality control in ceramic tile manufacturing is hard, labor intensive and it is performed in a harsh industrial environment with noise, extreme temperature and humidity. It can be divided into color analysis, dimension verification, and surface defect detection, which is the main purpose of our work. Defects detection is still based on the judgment of human operators while most of the other ...

— In this work, we present a novel technique for ultrasound image processing (2D signals). The Moving Average Hybrid FIR filter (MAH-FIR) which it work with two different FIR filter, the Moving Average (MA) and Median Hybrid (FMH) filters. We experimented with continuous linear regression function and Lagrange multiplier to obtain the approximation of the MA-FIR and FMH-FIR filters, respectivel...

Cell lineage tracing is a fundamental digital image processing tool for developmental biologists to probe the roles of cell differentiation, cell adhesion, and cell movement among other biophysical principles, in developmental programs. In this project I create an extension of cell lineage tracingtissue fate mapping or tissue lineage tracing. Tissue lineage tracing is useful for observing bioph...

Starting from a biologically inspired framework, Gabor filters were built up from retinal filters via LMSE algorithms. A subset of retinal filter kernels was chosen to form a particular Gabor filter by using a weighted sum. One-dimensional optimization approaches were shown to be inappropriate for the problem. All model parameters were fixed with biological or image processing constraints. Deta...

The processing of microscopic tissue images and especially the detection of cell nuclei is nowadays done more and more using digital imagery and special immunodiagnostic software products. One of the most promising methods is region growing but it is quite memory intensive. The size of highresolution tissue images can easily reach the order of a hundred megabytes therefore the memory requiremen...

Image acquisition system of chestnuts has been designed in this study. After the preprocessing on the images, including image de-noising, image enhancement, image segmentation, edge extraction and edge linking, the parameters of the shape features of chestnuts such as the areas, the perimeter, the circularity, the eccentricity and the degree of circularity have been extracted. This study propos...

Image enhancement is the process of applying certain alterations to an input image so that the resulting image is greater to the first image for an individual application or set of determinations. This paper presents an analysis of various enhancement procedures and noise removal techniques for improving the contrast and visibility of images. There are various types of noises as discussed in th...

A major problem in noisy image processing is the effective segmentation of its components. In this paper, we are proposing a K Medoid clustering algorithm for noisy image segmentation, which is able to segment all types of noisy images efficiently. As the presented clustering algorithm selects the centroids randomly hence it is less sensitive , to any type of noise as compare to other clusterin...