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Segmentation of document images

Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics, 1989
Several methods for segmentation of document images are explored. The authors pose the segmentation operation as a statistical classification task with two pattern classes: print and background. A number of classification strategies are available. All require some prior information about the distribution of gray levels for the two classes.
Torfinn Taxt   +2 more
openaire   +1 more source

Image segmentation techniques

Computer Vision, Graphics, and Image Processing, 1984
There are now a wide Abstract There are now a wide variety of image segmentation techniques, some considered general purpose and some designed for specific classes of images. These techniques can be classified as: measurement space guided spatial clustering, single linkage region growing schemes, hybrid linkage region growing schemes, centroid linkage ...
Robert M. Haralick, Linda G. Shapiro
openaire   +1 more source

Segmentation of medical images

Image and Vision Computing, 1993
Abstract Segmentation and labelling remains the weakest step in many medical vision applications. This paper illustrates an approach based on generic modules which are designed to solve typical problems encountered in various applications, and which are controllable through adaptation of their parameters.
Rudi Deklerck   +2 more
openaire   +3 more sources

Image segmentation in thermal images

2016 IEEE International Conference on Industrial Technology (ICIT), 2016
This paper presents a novel method for image segmenting in thermal images. A thermal imaging sensor is a device that forms an image by detecting the infrared radiation from objects in a scene and comparing their temperature differences. In this study, we characterized an object's heat signature (its mean temperature and variance) by segmenting its ...
Yung-Yao Chen   +2 more
openaire   +2 more sources

Image inpainting based on image segmentation and segment classification

2013 IEEE International Conference on Control System, Computing and Engineering, 2013
We present a new inpainting algorithm that is based on image segmentation and segment classification. First, we employ the mean shift algorithm to segment the input image. Then, we divide the original inpainting problem to be either one of the two problems: Large Segment Inpainting problem or Non-uniform Segments inpainting problem.
Eman T. Hassan   +2 more
openaire   +1 more source

Biomedical image segmentation

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
Segmentation of biomedical images separates scenes into their components based on recognition of locally similar patterns of intensity, color, texture or other features, with or without use of a priori knowledge regarding the objects or "camera" used to acquire the images.
Michael W. Vannier, John W. Haller
openaire   +1 more source

A survey on image segmentation

Pattern Recognition, 1981
Abstract For the past decade, many image segmentation techniques have been proposed. These segmentation techniques can be categorized into three classes, (1) characteristic feature thresholding or clustering, (2) edge detection, and (3) region extraction. This survey summarizes some of these techniques.
King-Sun Fu, J. K. Mui
openaire   +2 more sources

Bone image segmentation

IEEE Transactions on Biomedical Engineering, 1999
Characteristics of microscopic structures in bone cross sections carry essential clues in age determination in forensic science and in the study of age-related bone developments and bone diseases. Analysis of bone cross sections represents a major area of research in bone biology. However, traditional approaches in bone biology have relied primarily on
Zhi-Qiang Liu   +3 more
openaire   +3 more sources

Image Segmentation by Image Analogies

2014
In this paper we propose a new technique for image segmentation based on contour detection using image analogies principle. A set of artificial patterns are used to locate contours of any query image. Each pattern allow the location of contours corresponding to specific intensity variation.
Asma Bellili, Slimane Larabi
openaire   +1 more source

Segmentation of textured images

Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
The authors present a method for texture segmentation that does not assume any prior knowledge about either the type of textures or the number of textured regions present in the image. Local orientation and spatial frequencies are used as the key parameters for classifying texture.
Adi Perry, David G. Lowe
openaire   +2 more sources

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