This paper presents a technique for Word segmentation for the Urdu OCR system. Word segmentation or word tokenization is a preliminary task for understanding the meanings of sentences in Urdu language processing. Several techniques are available for word segmentation in other languages but not much work has been done for word segmentation of Urdu Optical Character Recognition (OCR) System. A me...

We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. Werefer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.Similarly to the collection of soft segmentation columns as the soft segmentation image, or simply asthe soft segmentation. The band-dependent posterior probability that the hard segmentation columnv...

This paper presents a new model based document image segmentation scheme that uses XML-DTDs (eXtensible Mark-up Language-Document Type Definition). Given a document image, the algorithm has the ability to select the appropriate model. A new wavelet based tool has been designed for distinguishing text from non-text regions and characterization of font sizes. Our model based analysis scheme makes...

Images on the Web come in hand with valuable textual content on hosting web pages that can be exploited to generate image annotations. However, web documents are usually composed of contents to multiple topics and the context of an image makes only a small portion of the full text of the web page. In order to get qualitative descriptions, methods that are able to extract the image context becom...

This paper presents a novel approach to finding a priori interesting regions in mammograms. In order to delineate those regions of interest (ROI’s) in mammograms, which appear to be prominent, a topographic representation called the iso-level contour map consisting of iso-level contours at multiple intensity levels and region segmentation based-thresholding have been proposed. The simulation re...

We present a new frame of lung parenchyma Segmentation. Optimal threshold value method and the boundary tracking method are used to get rid of the background interference and segment the lung region. Then new algorithm is used for lung region boundary repairing based on the mathematical morphology method. The experimental results show the new algorithm can segment lung regions from the chest CT...

This paper deals with a novel semi-automatic segmentation method giving realistic results on head and neck tumors. To the classical “inside” and “outside”, we add a fuzzy area with a tumor probability between 0 and 1 which represents the area where even specialists do not have an unique solution. We describe here the technique and its results, then we will discuss about the marker number diminu...

This paper presents a new growing neural network for cluster analysis and market segmentation, which optimizes the size and structure of clusters by iteratively checking them for multivariate normality. We combine the recently published SGNN approach [8] with the basic principle underlying the Gaussian-means algorithm [13] and the Mardia test for multivariate normality [18, 19]. The new approac...

This paper describes a new method for the automated segmentation and extraction of cardiac MRI tagging lines. Our method is based on the novel use of a 2D Gabor filter bank. By convolving the tagged input image with our Gabor filters, the tagging lines are automatically enhanced and segmented out. We design the Gabor filter bank based on the input image’s spatial and frequency characteristics. ...

This paper provides a review of methods advanced in the past few years for segmentation of color images. After a brief definition of the segmentation, we outline the various existing techniques, classified according to their approaches. We have identified five that are based approaches contours, those relying on notion of region, structural approaches, those based on the form and then using tho...