Accession Number:

ADA158496

Title:

Development of Shape Analysis Algorithms.

Descriptive Note:

Final rept. Jun 81-Apr 85,

Corporate Author:

PURDUE UNIV LAFAYETTE IN SCHOOL OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1985-07-01

Pagination or Media Count:

16.0

Abstract:

This report summarizes the results of a four year research effort. The primary research topic addressed is automatic shape recognition of silhouettes or contours. Methods studied are Fourier descriptors, Walsh descriptors, and 2-D moments. Also the recognition of partially correct shapes are addressed. Three methods were developed to solve such problems. These methods are 1 polygonal fitting of a boundary followed by local matching of distances and angles 2 Fourier descriptor representation of boundary segments followed by dynamic programming to match segments dynamic programming is modified to allow several local optimums instead of one global optimum and 3 recognition of time-axis scaling and matches between two partially matching waveforms using Mellin Transform techniques. Other research topics addressed by this summary are 1 registration and segmentation of moving objects 2 measurement and recognition using 3-D range data 3 image compression using motion detection and 4 precision measurements in digital images. The research summarized in the report resulted in 5 Ph.D. Theses, 5 M.S.E.E. theses, and over 20 additional publications. Additional keywords image processing electrical engineering. Author

Subject Categories:

  • Optical Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE