Proceedings ArticleDOI
Automatic segmentation of seismic data via knowledge-based image processing techniques
Marwan A. Simaan,Z. Zhang +1 more
- pp 1949-1952
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TLDR
The results show that the third system, texture-energy measurement augmented by a knowledge-based quadtree-splitting process, provides a better segmentation of the test image than the other two.Abstract:
Three knowledge-based texture image segmentation systems are described, and their performance on a real test image is analyzed. The image is a small piece of a seismic section and the objective is to segment it into zones of common signal texture. The first system is based on a run length statistics algorithm extended by a decision process which incorporates heuristic rules to influence the segmentation. The second and third systems are based on texture energy measurement algorithms augmented by two different knowledge-based classification processes. The knowledge-based process of the second system is controlled by a parallel region growing scheme, and that of the third system is controlled by an iterative quadtree-splitting scheme. The results show that the third system, texture-energy measurement augmented by a knowledge-based quadtree-splitting process, provides a better segmentation of the test image than the other two. >read more
References
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Journal ArticleDOI
Statistical and structural approaches to texture
TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.
Journal ArticleDOI
Texture analysis using gray level run lengths
TL;DR: In this paper, a set of texture features based on gray level run lengths is described, and good classification results are obtained with these features on a sets of samples representing nine terrain types.
Texture analysis using grey level run lengths
TL;DR: A set of texture features based on gray level run lengths is described, and good classification results are obtained with these features on a set of samples representing nine terrain types.
Book
Introduction to Geophysical Prospecting
TL;DR: In this paper, the basic principles of geophysical prospecting with emphasis on geological considerations and on geophysical instruments and methodology for the recording and processing of field data are reviewed, as well as advances in computer technology, field techniques and the analysis and interpretation of data.
Journal ArticleDOI
Pattern Recognition and Image Processing
King-Sun Fu,Rosenfeld +1 more
TL;DR: A very brief survey of recent developments in basic pattern recognition and image processing techniques is presented.