Applications of Mathematical Morphology to Range Imagery

reportActive / Technical Report | Accession Number: ADA189316 | Open PDF

Abstract:

Although little known, mathematical morphology offers great potential in the areas of image enhancement, feature extraction, and object recognition. This work explores this growing field through a survey of established morphological algorithms and the developement of new morphological algorithms for range image analysis. With range imagery, mathematical morphology is used for noise removal, 2-D feature extraction, 3-D feature extraction, and 3-D corner extraction.

Author(s):
Esselman, Thomas R. ; Verly, Jacques G.
Author Organization(s):
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
Descriptive Note:
Technical rept.
Supplementary Note:
DOI: 10.21236/ADA189316
Pagination:
0082

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
TR-797, ESD-TR-87-244
Contract/Grant Number(s):
F19628-85-C-0002
Monitor Series:
TR-87-244, DARPA
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning; JCA_1.2.7_Experimentation; JCA_1.2.6_Concepts; JCA_1.2.5_Lessons Learned; JCA_5.2_Understand; JCA_5.2.2_Develop Knowledge and Situational Awareness
Modernization Areas:
Quantum Science and Computing; AI and Machine Learning; Microelectronics
Communities of Interest:
Biomedical
Descriptor(s):
*IMAGE PROCESSING, *MORPHOLOGY, ALGORITHMS, COVARIANCE, MATHEMATICS, NOISE, NOISE REDUCTION, OPTIMIZATION, RECOGNITION, REMOVAL
Field(s)/Group(s):
Cybernetics
Keyword(s):
IMAGE ENHANCEMENT, FEATURE EXTRACTION, SCENE ANALYSIS, STRUCTURING ELEMENTS, PE62702E
Report Date:
1987 Dec 23