Structural professional column attribute identification method based on combination of traditional image processing and deep learning
An image processing and deep learning technology, which is applied in the field of object detection technology to identify the attributes of columns, can solve the problems of time-consuming and labor-consuming, low accuracy of attributes, and low accuracy of attribute tables, and solve the problems of table style and position confusion, The effect of reducing over-reliance, improving accuracy and speed
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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0030] Such as Figure 1-7 As shown, the present invention provides a structural professional column attribute recognition method based on traditional image processing combined with deep learning, the method includes the following steps:
[0031] S1, data preparation first;
[0032] S2. Analyzing the drawings to obtain a series of graphic elements;
[0033] S3, get all the graphic element lines in the column layer, and draw these graphic element lines on a blank base map;
[0034] S4, using traditional image processing methods to find the spaces of all columns;
[0035] S5. Using traditional im...
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