Bias field signal is a low-frequency and very smooth signal that corrupts MRI images specially those produced by old MRI (Magnetic Resonance Imaging) machines. Image processing algorithms such as segmentation, texture analysis or classification that use the graylevel values of image pixels will not produce satisfactory results. A pre-processing step is needed to correct for the bias field signa...

Ancient manuscripts have been preserved by many organizations so as to protect these documents and retrieve traditional knowledge. With the advanced computer technology, digitized media is now commonly used to record these documents. One objective of such work is to develop an efficient image processing system that could be used to retrieve knowledge and information automatically from these anc...

Segmentation is the process to retrieve the feature or ROI from input image. The process is beneficial as the early preprocessing stage as well as application to identify the meaningful information from images. To obtain the meaningful information, more effective segmentation approach is required. In this work, a study is defined on the segmentation in image processing. The paper has discussed ...

We present a method to detect intensity changes in longitudinal volumetric MRI data from patients with multiple sclerosis (MS). Preprocessing includes spatial and intensity normalization. The intrasubject intensity normalization is achieved using a polynomial least trimmed squares method to match the histograms of all images in the series. Viewing the detection of disease activity in MRI as a c...

The CMOS Imager presented integrates a 2D photoreceptor array with a nine input analog processor on the same focal plane. The analog processor is fully programmable, performing multiply-accumulate operations. A VLSI implementation of spatial convolution operations performed on images is presented. A modi®ed photoreceptor is presented that is based on current mode for signal transmission, thus d...

This paper analyzes hardware pre-fetching techniques for caching images. Performances are evaluated with respect to different classes of image processing algorithms, namely raster-scan and propagative algorithms, common in computer vision and multimedia applications. Sequential pre-fetching and adaptive pre-fetching are compared with the proposed adaptive local pre-fetching that results to be m...

Pre-processing is necessary in fMRI analysis in order to take raw data from the scanner and prepare it for statistical analysis. This talk describes the various pre-processing steps which occur prior to the the statistical analysis (which estimates where significant activation occurred, and is described in the following talk). The pre-processing steps take the raw MR data and apply various imag...

Clustering of text documents is an important technique for documents retrieval. It aims to organize documents into meaningful groups or clusters. Preprocessing text plays a main role in enhancing clustering process of Arabic documents. This research examines and compares text preprocessing techniques in Arabic document clustering. It also studies effectiveness of text preprocessing techniques: ...

BACKGROUND Changes in gene expression in response to external signals provide a key mechanisms for the regulation of higher eukaryotic cell functions. The importance of transcriptional control in the response of cells to growth factors and cytokines has been extensively documented, but gene expression has also been shown to be controlled at other levels, such as the stability of mRNA in the cyt...

This paper is concerned with pre-processing and segmentation tasks that influence the performance of Optical Character Recognition (OCR) systems and handwritten/printed text recognition. In Arabic, these tasks are adversely effected by the fact that many words are made up of sub-words, with many sub-words there associated one or more diacritics that are not connected to the sub-word’s body; the...