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Soft Computing Techniques in Engineering Applications

Overview of attention for book
Cover of 'Soft Computing Techniques in Engineering Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Vision Solutions in Automotive Industry
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    Chapter 2 Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application
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    Chapter 3 A Matlab GUI Package for Comparing Data Clustering Algorithms
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    Chapter 4 Multi Objective Line Symmetry Based Evolutionary Clustering Approach
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    Chapter 5 An Efficient Method for Contrast Enhancement of Digital Mammographic Images
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    Chapter 6 Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle
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    Chapter 7 A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots
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    Chapter 8 Pseudo-Fractional Tap-Length Learning Based Applied Soft Computing for Structure Adaptation of LMS in High Noise Environment
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    Chapter 9 Medical Image Analysis Using Soft Computing Techniques
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    Chapter 10 Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique
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    Chapter 11 Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System
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    Chapter 12 Comparison of Edge Detection Algorithm for Part Identification in a Vision Guided Robotic Assembly System
Attention for Chapter 5: An Efficient Method for Contrast Enhancement of Digital Mammographic Images
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Citations

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Chapter title
An Efficient Method for Contrast Enhancement of Digital Mammographic Images
Chapter number 5
Book title
Soft Computing Techniques in Engineering Applications
Published by
Springer International Publishing, February 2014
DOI 10.1007/978-3-319-04693-8_5
Book ISBNs
978-3-31-904692-1, 978-3-31-904693-8
Authors

Sanjeev Kumar, Mahesh Chandra

Editors

Srikanta Patnaik, Baojiang Zhong

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 100%
Readers by discipline Count As %
Computer Science 1 33%
Medicine and Dentistry 1 33%
Engineering 1 33%

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