Image segmentation, the partitioning of an image into meaningful parts, is a major concern of any computer vision system. The meaningful parts of a text image are lines of text, words and characters. In this paper, the segmentation of pages of text into lines of text and lines of text into characters on a parallel machine will be examined. Using a parallel machine for text image segmentation al...

The intrinsic aberrations of high-NA gradient refractive index (GRIN) lenses limit their image quality as well as field of view. Here we used a pupil-segmentation-based adaptive optical approach to correct the inherent aberrations in a two-photon fluorescence endoscope utilizing a 0.8 NA GRIN lens. By correcting the field-dependent aberrations, we recovered diffraction-limited performance acros...

A problem often encountered with multiresolution segmentation algorithms is that small or thin features of an object become lost. This is particularly evident in linked-pyramid structures and a method is required to restore these features. This paper shows that simple adaptive isotropic and non-isotropic filtering based on the inter-region signal-to-noise ratio can be used to iteratively re-est...

We present a new fully automatic algorithm for MR image segmentation. The MR image data is first interpolated for an adequate local feature vector on each voxel. Then, a two-level segmentation scheme is applied. One is a data-oriented low level segmentation, which is based on a modified self-adaptive on-line vector quantization technique. The other is a goal-directed high level processing, whic...

The study presented in this article focuses on comparative analysis of Segmentation techniques. Segmentation techniques are applied to extract Region of Interest (ROI) from medical images obtained from different medical scanners such as Ultrasound, CT or MRI. Global thresholding, Adaptive Thresholding, Region grow and Active contour using level set techniques has been used in the proposed segme...

In this paper, the segmentation using codebook index statistics (SUCIS) method is proposed for vector-quantized images. Three different codebooks are constructed according to the statistical characteristics (mean, variance, and gradient) of the codewords. Then they are employed to generate three different index images, which can be used to analyze the image contents including the homogeneous, e...

Character segmentation is a crucial step in most Arabic optical text recognition systems. The recognition process depends mainly on the accuracy of the character segmentation. This paper presents a novel adaptive algorithm for the off-line segmentation of printed Arabic text. There are many challenging features in the Arabic writing, for example, it is cursive and characters in a word can take ...

Playfield is one of main parts appearing in typical scenes of sports videos. The segmentation of playfield is essential because it usually offers important cue of higherlevel content in sport videos. The colors in playfield may change significantly due to variation of illumination, which thus results in a large amount of segmentation errors for color-based segmentation schemes. In this paper, w...