Open Access
KANDIDATS Image Processing System
Robert M. Haralick,Gary J. Minden,Dale R. Johnson,Amrendra Singh,William F. Bryant,Craig A. Paul +5 more
TLDR
The versatility and capabilities of KANDIDATS allow processing of images that are a few thousands rows by a few thousand columns in a minicomputer system with only 32 K words of main memory.Abstract:
KANDIDATS is a comprehensive digital image processing system that interacts with the user at a command string level. It includes prompting for parameter. input .and checks user input for errors. Image analyses available In KANDIDATS consist of utility functions, image transform operations, spatial clustering, and Bayesian classi~ication. The versatility and capabilities of KANDIDATS anse from a modular programming structure and file stru'cture. These attributes allow processing of images that are a few thousand rows by a few thousand columns in a minicomputer system with only 32 K words of main memory. 1.0 IMAGE PROCESSINGread more
Citations
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Journal ArticleDOI
Manipulating Data Structures in Pictorial Information Systems
TL;DR: Spatial data handling systems generally use either topological or grid image data structures, and it makes little sense for these systems to be incompatible.
Journal ArticleDOI
Picture processing: 1976
TL;DR: A bibliography of over 450 References related to the computer processing of pictorial information, arranged by subject matter is presented, including digitization rind compression; transforms and filtering; enhancement, restoration, and reconstruction.
Journal ArticleDOI
Image Access Protocol for Image Processing Software
TL;DR: This correspondence is a first step in a direction toward getting a communication process started by suggesting some specifications for a multiimage data format and standard input/output interface routines to access the image data.
Journal ArticleDOI
Image Processing Software for Industrial Visual Inspection
Book ChapterDOI
Digital Analysis of Multi-Channel Radar Data at CCRS
TL;DR: Because of the coarse spatial resolution of LANDSAT scanner data, the four or five spectral radiance measurements for each pixel contribute more to successful target identification than does the spatial information, which means automated schemes developed for use onLANDSAT data often work very poorly on radar data.
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