Accession Number:

ADA076064

Title:

Thresholding Using the Isodata Clustering Algorithm

Descriptive Note:

Technical rept.

Corporate Author:

MARYLAND UNIV COLLEGE PARK COMPUTER SCIENCE CENTER

Personal Author(s):

• Velasco, Flavio R.

Report Date:

1979-03-01

Pagination or Media Count:

14.0

Abstract:

A recently proposed iterative thresholding scheme turns out to be essentially the well-known ISODATA clustering algorithm, applied to a one- dimensional feature space the sole feature of a pixel is its gray level. We prove that in one dimension, ISODATA always converges. We also apply it to requantize images into specified numbers of gray levels.

Descriptors:

• *IMAGE PROCESSING
• ALGORITHMS
• PATTERN RECOGNITION
• QUANTIZATION
• THRESHOLD EFFECTS

Subject Categories:

• Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE