In this paper, we propose a general formulation of discrete functional regularization on weighted graphs. This framework can be used to on any multi-dimensional data living on graphs of arbitrary topologies. But, in this work, we focus on the microscopic image segmentation and classification with a semi and unsupervised schemes. Moreover, to provide a fast image segmentation we propose a graph ...

The paper presents two techniques of image segmentation to facilitate image edge detection, that can be used further by image analysis based on the extracted features of image edges, Canny edge detection and Otsu thresholding are examples of the proposed techniques, the paper evaluates the effectiveness of the two methods with a variety of images, testing their suitability to natural as well as...

This paper proposes methods to pre-process questions in the postings before a QA system can find answers in a discussion group in the Internet. Pre-processing includes garbage text removal and question segmentation. Garbage keywords are collected and different length thresholds are assigned to them for garbage text identification. Interrogative forms and question types are used to segment quest...

In order to achieve the combined advantages of optical broadband network and wireless network, the concept of Fiber wireless (FiWi) access network has been evolved. There are various research issues in FiWi network. Survivability and energy efficiency are of main concern. In this paper the main objective is to propose optimal segmentation of FiWi network, using adaptive energy segmentation algo...

The fixed priority scheduling of distributed realtime systems is an NP-hard problem, and therefore it is a suitable problem to be approached with generic search and optimization algorithms. On the other hand, the segmentation of the network can contribute positively to the schedulability of distributed real-time systems. This paper proposes a genetic algorithm with a permutational solution enco...

In this paper, we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual non linear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses in...

In this paper, we propose an approach of unsupervised segmentation with fuzzy connectedness. Valid seeds are first specified by an unsupervised method based on scale space theory. A region is then extracted for each seed with a relative object extraction method of fuzzy connectedness. Afterwards, regions are merged according to the values between them of an introduced measure. Some theorems and...

The aim of this paper is to develop a probabilistic modeling framework for the segmentation of structures of interest from a collection of atlases. Given a subset of registered atlases into the target image for a particular Region of Interest (ROI), a statistical model of appearance and shape is computed for fusing the labels. Segmentations are obtained by minimizing an energy function associat...

Optical Character Recognition (OCR) systems have been effectively developed for the recognition of printed script. The accuracy of OCR system mainly depends on the text preprocessing and segmentation algorithm being used. When the document is scanned it can be placed in any arbitrary angle which would appear on the computer monitor at the same angle. This paper addresses the algorithm for corre...

In this paper, we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual non linear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses in...