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Shellfish target size rapid measurement method based on deep learning

A target size, deep learning technology, applied in neural learning methods, image enhancement, instruments, etc., can solve the problems of low accuracy, inability to measure and statistics, and achieve the effect of reducing stacking, strong stability, and good detection effect

Active Publication Date: 2022-05-13
YANTAI UNIV
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Problems solved by technology

[0002] Shellfish is one of the favorite foods for people. With the improvement of living standards, its demand is increasing day by day. In order to improve the quality and output of farming, farmers need to regularly check the quality of shellfish from seedlings to finished products. The size is measured and counted. At present, shellfish farming adopts the statistical method of manual measurement. Due to the shape and irregularity of shellfish, manual measurement can only approximate its diameter for measurement and statistics. The accuracy rate is relatively low, and at the same time, a large number of Therefore, there is an urgent need for an efficient and practical target size measurement method

Method used

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  • Shellfish target size rapid measurement method based on deep learning
  • Shellfish target size rapid measurement method based on deep learning
  • Shellfish target size rapid measurement method based on deep learning

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Embodiment Construction

[0053] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. It should be noted that these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. The present disclosure can be implemented in various forms and should not be construed by the limited by the implementation.

[0054] The orientations "front and back", "left and right", etc. mentioned in the present invention are only used to express relative positional relationship, and are not restricted by any specific direction reference in practical application.

[0055] see figure 1 and figure 2 , a method for rapid measurement of shellfish target size based on deep learning, including:

[0056] Step 1: Place the target to be measured in a flat container, and collect images through an image acquisition device. The acquisition d...

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Abstract

A shellfish target size rapid measurement method based on deep learning comprises the steps that firstly, a plane container with at least four identification feature points is designed, after the identification feature points of the plane container are detected in a collected image, the mapping relation between the identification feature points and actual physical identification feature points is established according to the homography of plane projection, and the mapping relation between the plane projection and the actual physical identification feature points is established; obtaining a homography matrix for converting pixel coordinates into actual physical coordinates; secondly, a rectangular frame of a single measurement target is obtained through a target detection method, pixel coordinates of the rectangular frame can be converted into actual measurement coordinates according to the obtained homography matrix, and therefore the actual size of the single measurement target is obtained. Meanwhile, the method can be transplanted to mobile equipment such as a mobile phone and a tablet computer, objective measurement and statistics can be carried out on the target size and number through random shooting, and the defects that manual measurement and statistics are low in speed and low in efficiency are effectively overcome.

Description

technical field [0001] The invention relates to the technical field of shellfish size measurement, in particular to a method for rapidly measuring shellfish target size based on deep learning. Background technique [0002] Shellfish is one of the favorite foods for people. With the improvement of living standards, its demand is increasing day by day. In order to improve the quality and output of farming, farmers need to regularly check the quality of shellfish from seedlings to finished products. The size is measured and counted. At present, shellfish farming adopts the statistical method of manual measurement. Due to the shape and irregularity of shellfish, manual measurement can only approximate its diameter for measurement and statistics. The accuracy rate is relatively low, and at the same time, a large number of Therefore, there is an urgent need for an efficient and practical target size measurement method. Contents of the invention [0003] In view of the above pro...

Claims

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Application Information

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IPC IPC(8): G06T7/62G06T7/00G06N3/04G06N3/08G06V10/40G06V10/82
CPCG06T7/62G06T7/0002G06N3/08G06T2207/20081G06T2207/20084G06T2207/30242G06N3/048G06N3/045Y02A40/81
Inventor 崔永超武栓虎牟春晓郑强
Owner YANTAI UNIV
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