• Publications
  • Influence
Algorithms for Graphics and Image Processing
  • T. Pavlidis
  • Mathematics
    Springer Berlin Heidelberg
  • 1 August 1981
1: Introduction.- 1.1 Graphics, Image Processing, and Pattern Recognition.- 1.2 Forms of Pictorial Data.- 1.2.1 Class 1: Full Gray Scale and Color Pictures.- 1.2.2 Class 2: Bilevel or "Few Color"
Fuzzy sets and their applications to cognitive and decision processes
TLDR
By providing a basis for a systematic approach to approximate reasoning, the theory of fuzzy sets may well have a substantial impact on scientific methodology in the years ahead, particularly in the realms of psychology, economics, law, medicine, decision analysis, information retrieval, and artificial intelligence.
Picture Segmentation by a Tree Traversal Algorithm
TLDR
This paper combines the two approaches with significant increase in processing speed while maintaining small memory requirements and the data structure is described in detail.
Integrating Region Growing and Edge Detection
TLDR
A method that combines region growing and edge detection for image segmentation is presented and is thought that the success in the tool images is because the objects shown occupy areas of many pixels, making it is easy to select parameters to separate signal information from noise.
Segmentation of Plane Curves
TLDR
A new fast algorithm is proposed which allows for a variable number of segments iniecewise approximation as a way of feature extraction, data compaction, and noise filtering of boundaries of regions of pictures and waveforms.
A review of algorithms for shape analysis
Abstract Algorithms for shape analysis are reviewed and classified under two criteria: whether they examine the boundary only or the whole area, and whether they describe the original picture in
Page segmentation and classification
TLDR
A class of techniques based on smeared run length codes that divide a page into gray and nearly white parts that appear quite robust in the presence of severe tilt and are also quite fast.
Temperature compensation of the circadian oscillation in drosophila pseudoobscura and its entrainment by temperature cycles.
TLDR
An empirical relationship is found between temperature steps and pulses and, to first approximation, the +A+ or - A+ generated by 12 hr pulses may be computed from the A# generated by the steps comprising that pulse, justifying the assumption that the A+ normally effected by the step is accomplished rapidly (within a few hours).
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