The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 169–172, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-169-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 169–172, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-169-2017

  10 May 2017

10 May 2017

ALGORITHMS OF CRESCENT STRUCTURE DETECTION IN HUMAN BIOLOGICAL FLUID FACIES

V. R. Krasheninnikov1, O. E. Malenova1, and A. S. Yashina2 V. R. Krasheninnikov et al.
  • 1Ulyanovsk State Technical University, Ulyanovsk, Russia
  • 2Research-and-Production Association “Mars”, Ulyanovsk, Russia

Keywords: Medical Diagnostic, Biological Fluid, Facies, Marker, Detection, Recognition

Abstract. One of the effective methods of early medical diagnosis is based on the image analysis of human biological fluids. In the process of fluid crystallization there appear characteristic patterns (markers) in the resulting layer (facies). Each marker is a highly probable sign of some pathology even at an early stage of a disease development. When mass health examination is carried out, it is necessary to analyze a large number of images. That is why, the problem of algorithm and software development for automated processing of images is rather urgent nowadays. This paper presents algorithms to detect a crescent structures in images of blood serum and cervical mucus facies. Such a marker indicates the symptoms of ischemic disease. The algorithm presented detects this marker with high probability when the probability of false alarm is low.