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Stem identification and detection method based on image processing

An image processing and detection method technology, applied in image data processing, image enhancement, image analysis and other directions, can solve the problems of large difference in detection results, low efficiency, non-uniform sampling amount and measurement times.

Pending Publication Date: 2022-01-04
南京焦耳科技有限责任公司
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Problems solved by technology

The traditional method of measuring the stick content rate of shredded tobacco is usually to use manual sampling and pick out the stem sticks from the shredded tobacco. Therefore, there are problems such as sampling volume and measurement times are not uniform, time-consuming, low efficiency, and large differences in test results by different personnel.
[0003] At present, there is an urgent need for an automated method for identifying and detecting stems, but there is no such technology in the art

Method used

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  • Stem identification and detection method based on image processing
  • Stem identification and detection method based on image processing
  • Stem identification and detection method based on image processing

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Embodiment Construction

[0063] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0064] Because there are differences in color, texture, and shape between shredded tobacco and stems, the existence of these differences provides characteristic parameters for image processing methods to identify stems. In view of this, the present invention uses an image processing method based on these differences to identify stem sticks in shredded tobacco, and calculates the stick-containing rate on this basis.

[0065] The present invention provides a method for recognizing and detecting stem marks based on image processing, the process is as follows figure 1 As shown, it specifically includes the following steps:

[0066] Step S1, collecting images of shre...

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Abstract

The invention discloses a stem identification and detection method based on image processing. The method comprises the following steps: acquiring a tobacco shred image; identifying stems in the tobacco shreds to obtain stems; establishing a fitting model of the sliver area and the sliver quality; and counting the label content in the tobacco shreds. According to the invention, the stem is identified by using an image processing technology; a fitting model of the stem silver and weight fitting model is established to calculate the stem content in the tobacco shreds. According to the method, the stem slivers in the tobacco shreds can be quickly, conveniently and effectively distinguished, and the cut tobacco sliver content can be accurately counted.

Description

technical field [0001] The invention belongs to the technical field of tobacco processing, and relates to a method for identifying tobacco leaves, in particular to an image processing-based identification and detection method for stem labels. Background technique [0002] The content of stem sticks in cigarette products has a direct impact on the combustion performance and sensory quality of cigarettes, so how to accurately measure the stick content of shredded tobacco is helpful to improve the quality of cigarette products. The traditional method of measuring the stick content rate of shredded tobacco is usually by manual sampling and picking out stem sticks from shredded tobacco. Therefore, there are problems such as sampling volume and measurement times are not uniform, time-consuming, low efficiency, and large differences in test results by different personnel. [0003] At present, there is an urgent need for an automated method for identifying and detecting stems, but t...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0004G06T7/62G06T7/11G06T7/136G06T7/187G06T5/20G06T2207/20032G06T2207/20081G06F18/2148G06F18/2411G06T5/70
Inventor 王艺斌丁多李春秀王先兵吴文强李瑞东杨博吴箭许文武庞鑫刘承钧
Owner 南京焦耳科技有限责任公司
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