Threshing quality detection method based on visual feature fusion
A quality inspection method and visual feature technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of insufficient efficiency, limited detection accuracy, and damage to the structure of cigarettes, and achieve the reduction of convolution coupling neural networks. The effect of increasing the number of network layers, improving measurement accuracy and efficiency, and avoiding radiation damage
Inactive Publication Date: 2020-04-03
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF5 Cites 7 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] 1) There is radiation in X-rays, which is harmful to people and will also cause damage to the structure of the cigarette;
[0007] 2) The efficiency of the method used is not high enough, and the detection accuracy is limited
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0048] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.
[0049] In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.
[0050] Such as figure 1 As shown, an online detection method of threshing quality based on visual feature fusion includes the foll...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a threshing quality detection method based on visual feature fusion, and relates to the field of computer image processing. Based on fusion of depth features and human selection features, the method comprises the following steps of tobacco lamina thinning, tobacco lamina image acquisition, image preprocessing, color, texture and form feature vector construction, depth feature acquisition by adopting a convolutional coupling neural network, feature fusion, tobacco lamina structure identification and tobacco lamina structure statistics, and the steps being repeated untilall tobacco leaves are identified. According to the method, based on the image of the threshing result and the tobacco lamina structure classification based on the fusion of the depth features and thehuman selection features, the radiation damage caused by the existing method can be effectively reduced, and the threshing quality detection accuracy is improved.
Description
technical field [0001] The invention relates to the field of computer image processing, in particular to a leaf-threshing quality detection method based on visual feature fusion. Background technique [0002] In recent years, consumers have paid more and more attention to the quality of cigarette products, which puts forward higher quality requirements for threshing and redrying. A reasonable leaf structure is the key to improving the quality of cigarette products. Controlling the rate of large sheets, increasing the rate of medium sheets, and reducing the rate of stems in leaves have become new requirements for the structure of cigarettes in current cigarette production. Therefore, the detection of threshing quality is an important process in cigarette production. [0003] Most of the existing testing equipment is manual sampling inspection, manually adjusting the size of the leaf thresher basket, the rotating speed of the beating roller, the wind speed of winnowing, and t...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06K9/62G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V10/56G06V10/44G06V10/462G06N3/045G06F18/2135G06F18/2411
Inventor 贾智伟
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY