Comparison of Model-Based Segmentation Algorithms for Color Images.

reportActive / Technical Report | Accession Number: ADA181609 | Open PDF

Abstract:

The objective of this thesis is to develop segmentation methods for multichannel and single channel images, and compare these methods. The segmentation algorithms are based on linear model for the image textures and on inverse filtering to estimate the image textures and their regions. Two specific methods are compared 1 A multichannel filtering algorithm that simultaneously models the three separate signals representing the intensity of red, green, and blue as a function of spatial position and 2 A single channel model applied to a combined image resulting from performing a Karhunen-Loeve transformation on the three signal components. Results of the multichannel image segmentation and the Karhunen-Loeve transformed one-channel image segmentation are presented and compared. Keywords Maximum likelihood Markov random fields Computer programs Theses. Author

Author(s):
Kupeli, Timur
Author Organization(s):
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Descriptive Note:
Master's thesis,
Supplementary Note:
Original contains color plates: All DTIC and NTIS reproductions will be in black and white.
Pagination:
0071

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning; JCA_1_Force Support; JCA_5.3.3_Develop Strategy; JCA_5.3.4_Develop Courses of Action; JCA_5.3.5_Analyze Courses of Action; JCA_1.3_Human Capital Management; JCA_4.6_Engineering; JCA_1.3.2_Personnel Management
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
*ALGORITHMS, *IMAGE PROCESSING, *SEGMENTED, *OPTICAL IMAGES, LINEAR SYSTEMS, MATHEMATICAL MODELS, COMPUTER PROGRAMS, INTENSITY, RED(COLOR), MARKOV PROCESSES, FILTERS, MULTICHANNEL, SEGMENTED, CHANNELS, IMAGES, COLORS, TEXTURE, INVERSION, MAXIMUM LIKELIHOOD ESTIMATION, MODELS, POSITION(LOCATION), SPATIAL DISTRIBUTION, SIGNALS, THESES, OPTICAL FILTERS, TWO DIMENSIONAL
Field(s)/Group(s):
Cybernetics, Optical Detection and Detectors
Keyword(s):
Karhunen loeve transformation
Report Date:
1987 Mar 01