Engineering drawing vector conversion and primitive semantic extraction method

A technology for engineering drawings and extraction methods, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as imperfections, poor effects, inability to accurately identify arrows, labels, etc., to solve extraction problems and improve accuracy and processing speed effects

Inactive Publication Date: 2013-01-16
SHANGHAI CHUWA SOFTWARE +1
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, there are vpstudio software from Germany, R2v software from Able Company and other drawing vectorization software. These software can carry out vectorization of drawings to a certain extent, but they are not perfect, and the accuracy rate of vector

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Engineering drawing vector conversion and primitive semantic extraction method
  • Engineering drawing vector conversion and primitive semantic extraction method
  • Engineering drawing vector conversion and primitive semantic extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The method for vectorization of engineering drawings and semantic extraction of graphic elements of the present invention will be further described in detail in conjunction with the accompanying drawings.

[0039] Such as figure 1 , shown in Fig. 2, engineering drawing vectorization of the present invention and graphic element semantic extraction method utilize Ghostscript scripting language to extract the information data in the PDF drawing file or generate corresponding BMP format image data; Binarization); use the improved seed segment algorithm to extract all the straight line segment primitive information in the image.

[0040] The algorithm for finding the seed segment by definition starting from a black pixel point c is as follows:

[0041] r is the search step size, and scope is the maximum search range, both of which are determined according to the scanning resolution of the drawing. Initially set R=r.

[0042] Step1.1, take the black pixel point c as the ce...

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

No PUM Login to view more

Abstract

The invention provides an engineering drawing vector conversion and primitive semantic extraction method. The method comprises the following steps: S1, utilizing a scripting language to extract information data in a PDF (Portable Document Format) drawing document or generate corresponding BMP (Bitmap) image data, and further pre-processing the document in the image format; S2, utilizing the seed segment algorithm to vectorize straight-line primitives in the image data; S3, vectorizing circles/circular arcs in the image data; S4, identifying the primitive relationship and utilizing the text/graphics separation algorithm based on connected region to remove labeling frames and graphics information on the drawing images; and S5, outputting the result. Through pretreatment of the text/graphics separation algorithm and the improvement on the seed segment vector conversion method, the engineering drawing vector conversion and primitive semantic extraction method improves the vector conversion accuracy and processing speed, and better solves the difficult problems in extracting the pattern semantic information through the rule matching algorithm, thereby providing a better data foundation for intelligent machine drawing reading and three-dimensional reconstruction.

Description

technical field [0001] The invention relates to the technical field of semantic information extraction of graphic elements of engineering drawings and drawing vectorization. Background technique [0002] Raster to Vector Conversion (RVC for short) is to use computer graphics, digital image processing, artificial intelligence and other comprehensive technologies to convert engineering drawings saved in raster image format into the computer through a scanner, and recognize The process of converting it into vector graphics and finally saving them in a format that CAD software can recognize. Raster graphic vectorization has broad application prospects not only in the field of mechanical design, but also in various engineering design, geographic information and other industries, and has important theoretical and practical significance. [0003] In addition, in addition to the graphic element information, an actual engineering drawing is mainly composed of three parts: graphic el...

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
no application Login to view more
IPC IPC(8): G06K9/46
Inventor 孙煦峰吴康宁陶余会赵亮
Owner SHANGHAI CHUWA SOFTWARE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products