There is a plethora of established and proposed document representation formats but none that can adequately support individual stages within an entire sequence of document image analysis methods (from document image enhancement to layout analysis to OCR) and their evaluation. This paper describes PAGE, a new XML-based page image representation framework that records information on image charac...

sar (synthetic aperture radar) image enhancement and segmentation is purpose of this thesis. sar image segmentation is a primary step before steps such as classification and target recognition. the main obstacle in sar image segmentation is inherent speckle noise. speckle noise is a multiplicative and highly destructive noise which results to intensity inhomogeneity. hence common segmentation m...

created from file: ieeetcomm94coverpage.tex cover page automatically created with CoverPage.sty A 6 s i ~ a c tIn this contribution, we describe a method for displacement estimation in stereoscopic images, which is closely coupled with a segmentation of the pictures into homogeneously displaced regions. The technique is driven by a statistical optimization criterion which assesses the quality o...

Column Segmentation logically precedes OCR in the document analysis process. The trainable algorithm described here, XYCUT, relies on horizontal and vertical binary profiles to produce an XYtree representing the column structure of a page of a technical document in a single pass through the bit image. Daining against ground truth adjusts a single, resolution independent, parameter using only lo...

The World Wide Web has been extensively developed since its first appearance two decades ago. Various applications on the Web have unprecedentedly changed humans’ life. Although the explosive growth and spread of the Web have resulted in a huge information repository, yet it is still under-utilized due to the difficulty in automated information extraction (IE) caused by the heterogeneity of Web...

The collections of historical books are an important source of information, both for the history of previous periods and for the development of the cultural documentation itself. Although to date, there have been made several attempts of digitalization and electronic navigation, there is not an appropriate frame of optical process and analysis of the content of these collections, consequently a...

We report in this paper a robust implementation of document segmentation and classification. In this algorithm, top-down approach is adopted due to its fast processing speed and reliability. In addition, the approach accounts for every portion of the processed page and it is also capable of image display a t different scale and allowing editing of classified blocks such as changing, merging and...

Dong, Xiaogang Ph.D., Purdue University, May, 2007. Document Page Classification and Nonlinear Diffusion Filtering for Image Segmentation and Noise Removal. Major Professor: Ilya Pollak. We develop a real-time, strip-based, low-complexity document page classification algorithm, which can be used as a copy mode selector in the copy pipeline. It analyzes the scan images and classifies them into o...

The Constrained Run-Length Algorithm (CRLA) is a well-known technique for page segmentation. The algorithm is very efficient for partitioning documents with Manhattan layouts but not suited to deal with complex layout pages, e.g. irregular graphics embedded in a text paragraph. Its main drawback is to use only local information during the smearing stage, which may lead to erroneous linkage of t...