In this paper we propose a novel probabilistic framework for document segmentation exploiting human perceptual recognition of text regions from complicated layouts. particular, conceptualize homogeneity as the Gestalt pattern displayed in regions, characterized by proximately and symmetrically arranged units with similar morphological texture features. We model local region connected component ...

Document image binarization is a vital pre-processing technique for document image analysis that segments text from badly degraded document images. In this paper, we propose a robust document image binarization technique that is based on the concept of adaptive image contrast. The adaptive image contrast which is formed by combining local image contrast and the local image gradient makes it tol...

SAR phase history data represents a polar array in the Fourier space of a scene being imaged. Polar Format processing is about reformatting the collected SAR data to a Cartesian data location array for efficient processing and image formation. In a real-time system, this reformatting or “re-gridding” operation is the most processing intensive, consuming the majority of the processing time; it a...

Information extraction is the task of extracting structured data from a degraded document. It includes data extraction such as text, image or graphics from the sources such as an image, video or documents. Text detection and extraction from the degraded document finds application in wide range of study. In this paper, an Optical Character Recognition less (OCR-less) method of obtaining an origi...

This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under a few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water...

This ongoing project aims at converting the content on a physical whiteboard, captured by a digital camera, into an electronic document which can be easily manipulated as drawings in a MS Office document or as inks in a TabletPC. Through a series of image processing procedures, the originally captured image is first transformed into a rectangular bitmap with clean white background, and finally ...

Here presenting a phase-based binarization model for ancient document images, and also a post processing method which can improve any binarization method and a ground truth generation tool. Three feature maps derived from the phase information of an input document image form the core of this binarization model. These features are the maximum moment of phase corresponding to covariance, a locall...

volume estimation of most agricultural products using mathematical methods is not accurate because of their irregular shape. an alternative method is image processing, which can be used in continuous sorting machines. the objective of this study is to find a practical method for volume estimation of potatoes using image processing. fifty potatoes (marfona variety) were selected as experimental ...

cantaloupe (cucumis melo) volume was measured using water displacement and image processing methods. the volume determined from image processing method was compared to the volume determined by the water displacement method using the paired samples t-test and the bland-altman approach. the paired samples t-test results showed that the volume determined by image processing method was not signific...

This paper proposes a novel binarization algorithm for converting the grayscale and color images into black and white images. The binarization is one of the very important process in all the researches pertaining to the field of the Document image processing and Pattern recognition. Since quality of binary image plays a critical role in the further processing of the document, especially in the ...