Cotton and linen blend fiber morphological characteristic identification system and identification method

Abstract

The invention discloses a cotton and linen blend fiber morphological characteristic identification system. The system comprises a fiber sample acquisition module used for acquiring a fiber sample, a fiber edge cutting module which is used for carrying out fiber edge detection on each fiber sample to obtain a fiber area, a single fiber segmentation module which is used for segmenting a plurality offibers in each fiber area, a fiber quantity counting module which is used for counting the fiber quantity, a fiber quantity up-to-standard judgment module which is used for judging whether the fiberquantity reaches the standard or not, a fiber posture adjusting module which is used for adjusting the fiber posture of each fiber to be a preset reasonable posture, a fiber category judging module which is used for judging the fiber category of each fiber, and a cotton and linen blended fiber classification result output module which is used for outputting a fiber type judgment result. The fibertype judgment result made by the system is more objective, scientific and accurate, and the identification speed is greatly improved. The invention further provides a cotton and linen blend fiber morphological characteristic identification method.

Description

technical field [0001] The invention relates to the technical field of morphological feature identification, in particular to a system and method for morphological feature identification of cotton-linen blended fibers. Background technique [0002] In the clothing industry, in order to facilitate production management and product analysis, it is necessary to scientifically identify textile fibers. Fiber identification mainly includes identification of morphological characteristics and physical and chemical characteristics of fibers. The identification of morphological characteristics is usually realized by microscope observation. Physical and chemical property identification methods mainly include combustion method, dissolution method, reagent coloring method, melting point method, specific gravity method, birefringence method, X-ray diffraction method, infrared absorption spectroscopy, etc. [0003] At present, major clothing manufacturers usually use the traditional micr...

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Problems solved by technology

[0003] At present, major clothing manufacturers usually use the traditional microscope observation method to rely on manual collection of fiber samples, and human eyes determine the morphological characteristics of the detection target to identify and detect the morphological characteristics of the fibers, but the entire process of manual detection is highly repetitive, boring, and low. In addition, relying on human testing experience, the test results are not scientific and objective enough to meet the market's automatic identification requirements for cotton and linen blended fibers

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