Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics
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9783319613154, 9783319613161

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Certain Applications and Case Studies of Evolutionary Computing Techniques for Image Processing

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_12 ◽

2017 ◽

pp. 273-296

Author(s):

A. Vasuki

Keyword(s):

Image Processing ◽

Case Studies ◽

Evolutionary Computing

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Artificial Bee Colony Algorithm for Classification of Semi-urban LU/LC Features Using High-Resolution Satellite Data

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_1 ◽

2017 ◽

pp. 1-20

Author(s):

J. Jayanth ◽

T. Ashok Kumar ◽

Shivaprakash Koliwad ◽

V.S. Shalini

Keyword(s):

High Resolution ◽

Satellite Data ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Bee Colony

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Spatial and Spectral Quality Assessment of Fused Hyperspectral and Multispectral Data

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_7 ◽

2017 ◽

pp. 133-158

Author(s):

Somdatta Chakravortty ◽

Anil Bhondekar

Keyword(s):

Quality Assessment ◽

Spectral Quality ◽

Multispectral Data

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Saliency-Based Image Compression Using Walsh–Hadamard Transform (WHT)

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_2 ◽

2017 ◽

pp. 21-42 ◽

Cited By ~ 4

Author(s):

A. Diana Andrushia ◽

R. Thangarjan

Keyword(s):

Image Compression ◽

Hadamard Transform ◽

Walsh Hadamard Transform

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Super-Resolution via Particle Swarm Optimization Variants

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_14 ◽

2017 ◽

pp. 317-337 ◽

Cited By ~ 8

Author(s):

Maria Aparecida de Jesus ◽

Vania V. Estrela ◽

Osamu Saotome ◽

Dalmo Stutz

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Super Resolution ◽

Swarm Optimization

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Object Trajectory Prediction with Scarce Environment Information

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_3 ◽

2017 ◽

pp. 43-55

Author(s):

Jin Sung Park ◽

Daniela López De Luise ◽

Jude Hemanth

Keyword(s):

Trajectory Prediction

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Survey on the Classification of Intelligence-Based Biometric Techniques

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_6 ◽

2017 ◽

pp. 111-132

Author(s):

K. Martin Sagayam ◽

J. Felix Jacob Edwin ◽

J. Sujith Christopher ◽

Gowru Vamsidhar Reddy ◽

Robert Bestak ◽

...

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Automatic Detection of Brain Strokes in CT Images Using Soft Computing Techniques

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_5 ◽

2017 ◽

pp. 85-109

Author(s):

B. S. Maya ◽

T. Asha

Keyword(s):

Soft Computing ◽

Automatic Detection ◽

Ct Images ◽

Soft Computing Techniques

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Deep Learning Techniques for Breast Cancer Detection Using Medical Image Analysis

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_8 ◽

2017 ◽

pp. 159-186 ◽

Cited By ~ 10

Author(s):

D. Selvathi ◽

A. Aarthy Poornila

Keyword(s):

Breast Cancer ◽

Image Analysis ◽

Deep Learning ◽

Cancer Detection ◽

Medical Image ◽

Medical Image Analysis ◽

Breast Cancer Detection ◽

Learning Techniques

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Histopathological Image Analysis for the Grade Identification of Tumor

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-319-61316-1_13 ◽

2017 ◽

pp. 297-316

Author(s):

M. Monica Subashini

Keyword(s):

Image Analysis ◽

Histopathological Image ◽

Histopathological Image Analysis

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Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and BiomechanicsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Certain Applications and Case Studies of Evolutionary Computing Techniques for Image Processing

Artificial Bee Colony Algorithm for Classification of Semi-urban LU/LC Features Using High-Resolution Satellite Data

Spatial and Spectral Quality Assessment of Fused Hyperspectral and Multispectral Data

Saliency-Based Image Compression Using Walsh–Hadamard Transform (WHT)

Super-Resolution via Particle Swarm Optimization Variants

Object Trajectory Prediction with Scarce Environment Information

Survey on the Classification of Intelligence-Based Biometric Techniques

Automatic Detection of Brain Strokes in CT Images Using Soft Computing Techniques

Deep Learning Techniques for Breast Cancer Detection Using Medical Image Analysis

Histopathological Image Analysis for the Grade Identification of Tumor

Biologically Rationalized Computing Techniques For Image Processing Applications - Lecture Notes in Computational Vision and Biomechanics
Latest Publications