A new machine classification method applied to human peripheral blood leukocytes

• Published in: Information processing & management Vol. 29; no. 6; pp. 765 - 774
• Main Authors: Rorvig, Mark E., Fitzpatrick, Steven J., Ladoulis, Charles T., Vitthal, Sanjay
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.11.1993; Elsevier Science; Pergamon Press; Elsevier Science Ltd
• Subjects: Automation; Blood; Blood leukocytes; Classification; Computer applications; Computer Oriented Programs; Computerized Techniques; Exact sciences and technology; Examples; Expert Systems; Image Analysis; Information and communication sciences; Information processing; Information retrieval systems. Information and document management system; Information science. Documentation; Knowledge Acquisition; Leukocytes; Mapping; Methods; Multidimensional Scaling; Pattern Analysis; Sciences and techniques of general use; Specialized information systems; Studies; Mental imagery; Automatic classification; Image processing; Coupled method; Expert system; Psychometrics; Information retrieval; Digital image; Computing; Imagery; Biomedical data processing; Multidimensional analysis; Information processing; Distance measurement; Bayes detection; Artificial intelligence
• ISSN: 0306-4573; 1873-5371
• DOI: 10.1016/0306-4573(93)90105-M

Human beings judge images by complex mental processes, whereas computing machines extract features. By reducing scaled human judgments and machine extracted features to a common metric space and fitting them by regression, the judgments of human experts rendered on a sample of images may be imposed on an image population to provide automatic classification.