Color Sensor

Abstract

A color sensor for generating color information defining colors of an image includes an input section, a color processing section, a color comparison section, a color boundary processing section and a memory processing section. The input section includes an array of transducer pairs, each pair defining one of a plurality of pixels. Each transducer pair generates two peak outputs, one for the selected color of each transducer of the pair. A plurality of pixel processors in the color processing section each receives the outputs from one of the transducer pairs. The color processing section generates a color feature vector representative of the brightness of the light incident on the pixels and a color value corresponding to the ratio of outputs from the transducers comprising the transducer pair associated with the pixels. The color boundary processing section generates a plurality of color boundary feature vectors, each representing the difference between the color value for a pixel and its neighboring pixels. The color comparator processor measures and compares the reflective color of two objects and the memory processor section provides a process to recognize a color, a boundary of color and/or a comparison of colors.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 16, 2002
Accession Number
ADD020040

Entities

People

  • Roger L. Woodall

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Brightness
  • Color Temperature
  • Color Vision
  • Comparators
  • Computer Vision
  • Detectors
  • Frequency
  • Light Sources
  • Neural Networks
  • Object Recognition
  • Patent Applications
  • Pattern Recognition
  • Perception
  • Recognition
  • Reliability
  • United States Government
  • Weighting Functions

Fields of Study

  • Agricultural and Food sciences

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Fluid Dynamics.
  • Image Processing and Computer Vision.