A fresh tea leaf recognition method based on contour analysis

A recognition method and contour analysis technology, applied in the field of image recognition, can solve the problems of not considering the damage and occlusion of fresh tea leaves, and cannot be applied to actual production, and achieve the effects of high accuracy, strong versatility and high operation efficiency.

Active Publication Date: 2019-06-14
ZHEJIANG SCI-TECH UNIV +1
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  • Abstract
  • Description
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Problems solved by technology

Although the success rate of these computer recognition methods is high, the algorithm stability and recognition efficiency still need to be improved. The sample images o...

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  • A fresh tea leaf recognition method based on contour analysis
  • A fresh tea leaf recognition method based on contour analysis
  • A fresh tea leaf recognition method based on contour analysis

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with the accompanying drawings.

[0052] Such as figure 1 As shown, a fresh tea leaf recognition method based on contour analysis consists of extracting the outer contour of fresh tea leaves, extracting contour feature points and judging the concavity and convexity of feature points, searching for petiole points, segmenting sub-contours according to contour feature points, and using support vectors The machine consists of six steps: identifying the profile of bud heads and determining the grade of fresh tea leaves according to the number of leaves and bud heads.

[0053] The specific process of extracting the outer contour of fresh tea leaves is as follows: firstly, the collected RGB three-channel color image is separated to obtain a B-channel image with higher contrast, such as diagram 2-1 shown. Then use the global threshold method to divide the B-channel image into two parts, the background and t...

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Abstract

The invention discloses a fresh tea leaf recognition method based on contour analysis. An existing fresh tea leaf recognition method does not consider the problems of fresh tea leaf damage and shielding. The method comprises the following steps of firstly, acquiring fresh tea leaf images and extracting fresh tea leaf outer contours; carrying out polygon fitting on the contour, extracting contour feature points and judging the concave-convex property of the feature points; secondly, introducing directional outline width characteristics of the fresh tea leaves, and searching petiole points in convex vertexes; cutting out sub-contours from the outer contours of the fresh tea leaves; after fitting the sub-contours by an ellipse fitting method, identifying whether the sub-contours are leaves orbuds by using a trained support vector machine model with a linear kernel function; and finally, grading the fresh tea leaves according to the number of leaves of the fresh tea leaves and the presence or absence of buds, wherein the fresh tea leaves are divided into single buds, one bud and one leaf, one bud and two leaves, one bud and three leaves and unqualified raw material grades. The methodis high in efficiency, high in accuracy and is free of requirements for blade placement; and the identification accuracy of the partially shielded image can also reach a relatively higher level.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a method for recognizing fresh tea leaves based on contour analysis. Background technique [0002] With the continuous improvement of the quality of life, the consumption demand for tea has been increasing. In recent years, the domestic tea production has also risen steadily, and tea machine picking has become a development trend. Nowadays, tea leaves are picked by double-blade cutting method, and the fresh tea leaves obtained are mixed in various grades. If they are directly processed, the quality and appearance of the finished tea will be seriously affected. Sometimes in order to improve the product appearance, the finished tea needs to be sorted, resulting in a waste of manpower and material resources in the tea making process. It can be seen that the current tea machine harvesting method cannot be popularized and applied in high-end tea production. The...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/38G06K9/62G06T7/136G06T7/12G06T7/194
Inventor 陈建能陈之威叶阳武传宇贺磊盈孙良夏旭东
Owner ZHEJIANG SCI-TECH UNIV
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