TEXAC/PICTOL: A Texture Analysis Computer and its special purpose language

ABSTRACT

Computer-assisted pattern recognition holds much promise for important applications in clinical medicine. In many instances successful automatic pattern recognition requires an analysis of the texture of a picture by a conventional digital computer, but this procedure involves a type of computing that is presently too time-consuming and expensive for practical application. In response to this situation, we have designed and developed an auxiliary computer called TEXAC (TEXture Analysis Computer). TEXAC can perform most whole picture operations at a rapid television rate of 1/30th of a second, and display the results continuously on color and black and white video monitors. Here we present the architecture of the TEXAC, both the hardware and software systems, and discuss potential biomedical applications and several interesting whole picture operations accomplished by the new computer.

REFERENCES

• 1: Ledley, R.S., Texture Problems in Biomedical Pattern Recognition, Proc. IEEE Conference on Decision and Control, (1972).
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• 9: Ledley R.S., Kulkarni, Y.G., Rotolo, L.S., Golab, T.J., and Wilson J.B., TEXAC, A Special Purpose Picture Processing Texture Analysis Computer, Proceedings of the Fifteenth IEEE Computer Society International Conference, pp. 66-71, Washington, D.C., Sept. 6-9, (1977).

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION

Additional Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.4 Applications
          Subjects: Text processing

  J. Computer Applications
  J.3 LIFE AND MEDICAL SCIENCES
      Subjects: Biology and genetics

General Terms:
Design, Human Factors, Theory

Keywords:
Biomedical pictorial pattern recognition, Image enhancement, PICTOL, TEXAC, Texture analysis, Whole picture operations