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Automatic bacteria identification device and method, automatic test equipment, urine analyzer

An automatic identification, bacteria technology, applied in the field of image processing, can solve the problem of lack of important resources and contributions for the identification of small object categories

Inactive Publication Date: 2014-05-14
SIEMENS HEALTHCARE DIAGNOSTICS INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the difficult task of this system is to deal with low-contrast particles, because masking operations are performed to determine some characteristics such as shape and size
Furthermore, the recognition of small object categories in microscopic images remains a research area lacking significant resources and contributions

Method used

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  • Automatic bacteria identification device and method, automatic test equipment, urine analyzer
  • Automatic bacteria identification device and method, automatic test equipment, urine analyzer
  • Automatic bacteria identification device and method, automatic test equipment, urine analyzer

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Embodiment Construction

[0050] The above-mentioned features, technical features, advantages and implementation methods of the present invention will be further described below by describing preferred embodiments in a clear and understandable manner in conjunction with the accompanying drawings.

[0051] According to an aspect of an embodiment of the present invention, a device for automatic identification of bacteria is provided, comprising: a detection unit for detecting an area part of an input image that may contain bacteria, so as to generate an output image containing the area part; a classification unit , for extracting features from the area part detected by the detection unit, and identifying whether the area part is a bacterium based on the feature, wherein the feature is the area of ​​the area part, area ratio, ring shape, At least one of aspect ratio, contrast, and texture complexity, preferably all of these features are employed to maximize accuracy.

[0052] figure 1 is a schematic bloc...

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Abstract

The embodiment of the invention provides an automatic bacteria identification device and method, automatic test equipment, as well as a urine analyzer. The automatic bacteria identification device includes a detection unit and a classification unit, the detection unit is used for detection of a regional part, in an input image, which may contain bacteria, so as to generate an output image containing the regional part, the classification unit is used for extracting a feature from the regional part detected by the detection unit, and identifies if the regional part is the bacteria on the basis of the feature; the feature is at least one from area, area ratio, cyclic shape, aspect ratio, contrast ratio and texture complexity of the regional part. According to the automatic bacteria recognition device and method of the embodiment of the invention, the bacteria can be automatically identified from the input image, and then a scheme, which is very effective in aspects of accuracy, cost and time, can be obtained.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a device and method for automatic identification of bacteria, and also relates to an automatic detection device and a urine analyzer. Background technique [0002] Urine sediment analysis can reveal many diseases that go unnoticed because they do not produce noticeable signs or symptoms, and are very useful in diagnosis and prognosis. As part of this analysis, microscopic examination of the urine sediment is often required to classify conditions such as urinary tract infections or renal disorders during the diagnostic process. [0003] Bacteria counts should also be performed during the examination to see if there are significant numbers, as usually more than 100,000 / ml of a tissue will reflect overt bacteriuria. However, microscopic representations of bacteria are small and aggregated. Consequently, manually performed microscopic analysis is time consuming, tedious and inherent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12M1/34C12Q1/04G06K9/54
CPCG06T7/0012G06V20/698G01N33/493G06T2207/10056G06T2207/20012G06T2207/20036G06T2207/30024G06T7/11G06T7/136
Inventor 吕冬姣沈宏
Owner SIEMENS HEALTHCARE DIAGNOSTICS INC
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