Medical imaging is a vital component of a large number of applications. MRI is the state-of the-art medical imaging technology, which allows cross sectional view of the body with unprecedented tissue contrast. The information that MRI provides has greatly increased knowledge of normal and diseased anatomy for medical research, and is a critical component in diagnosis and treatment planning. In ...

A method to solve oversegmentation and undersegmentation in a region-based correspondence process is presented. The approach is based on performing a preprocessing step before using existing graph based methods. This preprocessing tries to assess the possible split regions in each image, with respect to the corresponding image, and form merge regions that could map better with regions in the ot...

One of the most important challenges for practical face recognition systems is to make recognition more reliable under uncontrolled lighting conditions. We tackle this by using novel illumination-insensitive preprocessing method. The proposed face recognition system consists of a gamma correction, a preprocessing stage, a hybrid Fourier-based facial feature extraction, and Principal Component L...

Binarization is an important preprocessing step in several document image processing tasks. Binarization of historical document with poor contrast, strong noise, and non-uniform illumination is a challenging problem. A new binarization algorithm has been developed to address this problem. In this paper, we describe a new method which does not utilize statistical properties of the intensity hist...

An effective approach for extracting document images from a As an example, Otsu’s celebrated paper [8] chooses the optinoisy background is introduced. The entire scheme is divided into three submum threshold by maximizing the between-class variance with stechniques – the initial preprocessing operations for noise cluster tightening, an exhaustive search, while, Kittler and Illingworth’s work [5...

Segmentation and classification of satellite imagery are a challenging problem due to the fact that it is not feasible to execute this task on a pixel-by-pixel basis.This paper proposes an efficient image classification technique for satellite images with the aid of KFCM and artificial neural network. The proposed classification technique is made of four phases namely, pre-processing, fragmenta...

Image preprocessing is the technique of enhancing data images prior to computational processing. Over the past two decades, studies of photographic images represented with multi-scale multi-orientation image decompositions (loosely referred to as “wavelets”) have revealed striking nonGaussian regularities and inter and intra-subband dependencies. In this paper we propose a new fast and efficien...