In this paper, we propose a technique called LACT for automatically categorizing software
systems in open-source repositories. LACT is based on latent Dirichlet Allocation, an …

Inspired by the success of MRF models for solving object segmentation problems, we
formulate the binarization problem in this framework. We represent the pixels in a document …

Most of the thresholding procedures involved setting of boundaries based on grey values or
intensities of image pixels. In this paper, the thresholding is to be done based on color …

Natural scene images usually contain varying colors which make segmentation more
difficult. Without any a priori knowledge of degradations and based on physical light …

Most of the thresholding procedures involved setting of boundaries based on grey values or
intensities of image pixels. In this paper, the thresholding is to be done based on color …

This paper presents a system for open-vocabulary text recognition in images of natural
scenes. First, we describe a novel technique for text segmentation that models smooth color …

Color and strokes are the salient features of text regions in an image. In this work, we use
both these features as cues, and introduce a novel energy function to formulate the text …

Text information in a natural scene is very useful and important for understanding images.
Detection and extraction of text information in such natural images have been used in many …

This paper presents a novel preprocessing method based on mathematical morphology
techniques to improve the subsequent thresholding quality of raw degraded word images …

This article presents a new method for the binarization of color document images. Initially,
the colors of the document image are reduced to a small number using a new color …