Application of CAD Combined with Computer Image Processing Technology in Mechanical Drawing

Fan, Na

doi:10.1007/978-3-030-51556-0_46

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The main objective of this research was to assist in digitizing the legacy hard copy of CAD drawings. Meanwhile, Fan [7] worked on descriptive geometry of 2D CAD drawings, including understanding sectional and assembly drawings.…”

Section: State Of the Artmentioning

confidence: 99%

Integrating Computer Vision and CAD for Precise Dimension Extraction and 3D Solid Model Regeneration for Enhanced Quality Assurance

Bhandari,

Manandhar

2023

Machines

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This paper focuses on the development of an integrated system that can rapidly and accurately extract the geometrical dimensions of a physical object assisted by a robotic hand and generate a 3D model of an object in a popular commercial Computer-Aided Design (CAD) software using computer vision. Two sets of experiments were performed: one with a simple cubical object and the other with a more complex geometry that needed photogrammetry to redraw it in the CAD system. For the accurate positioning of the object, a robotic hand was used. An Internet of Things (IoT) based camera unit was used for capturing the image and wirelessly transmitting it over the network. Computer vision algorithms such as GrabCut, Canny edge detector, and morphological operations were used for extracting border points of the input. The coordinates of the vertices of the solids were then transferred to the Computer-Aided Design (CAD) software via a macro to clean and generate the border curve. Finally, a 3D solid model is generated by linear extrusion based on the curve generated in CATIA. The results showed excellent regeneration of an object. This research makes two significant contributions. Firstly, it introduces an integrated system designed to achieve precise dimension extraction from solid objects. Secondly, it presents a method for regenerating intricate 3D solids with consistent cross-sections. The proposed system holds promise for a wide range of applications, including automatic 3D object reconstruction and quality assurance of 3D-printed objects, addressing potential defects arising from factors such as shrinkage and calibration, all with minimal user intervention.

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Section: State Of the Artmentioning

confidence: 99%

Integrating Computer Vision and CAD for Precise Dimension Extraction and 3D Solid Model Regeneration for Enhanced Quality Assurance

Bhandari,

Manandhar

2023

Machines

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“…Image processing technology is more mature, widely used in various industries, and the work efficiency is greatly improved [9]:…”

Section: Image Recognitionmentioning

confidence: 99%

Texture Feature Extraction and Morphological Analysis of Landslide Based on Image Edge Detection

Wang

Wu²,

Hao

2022

Mathematical Problems in Engineering

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Landslides in nature are harmful to economic development and people’s lives and cause irreparable losses to the environment. With the application of image detection technology and intelligent algorithm, a new way for landslide detection is proposed to achieve effective detection and identification of hazards. This paper takes the landslide as the data set, carries on the noise reduction, the image expansion, and the image segmentation processing to the image, and extracts the object region information. The quantitative description of the azimuth displacement and displacement change of the crack curve is completed in this paper. This method is suitable for 3D simulation model, sand and stone model, soil model, and the sliding test results of Panzhihua Flight Field, which proves that the design method is effective. Experiments show that when sliding occurs, the texture and color become chaotic, the usual mountain becomes more in the regular state, and the extraction of features is very different. The method has better recognition effect for the hillside covered with vegetation, the recognition time is short, and the recognition rate can reach 90%.

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Maintaining the Descriptive Geometry’s Design Knowledge

Grgić

Karakašić

Ivandić

et al. 2021

30th International Conference on Organization and Technology of Maintenance (OTO 2021)

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Application of CAD Combined with Computer Image Processing Technology in Mechanical Drawing

Cited by 3 publications

References 8 publications

Integrating Computer Vision and CAD for Precise Dimension Extraction and 3D Solid Model Regeneration for Enhanced Quality Assurance

Integrating Computer Vision and CAD for Precise Dimension Extraction and 3D Solid Model Regeneration for Enhanced Quality Assurance

Texture Feature Extraction and Morphological Analysis of Landslide Based on Image Edge Detection

Maintaining the Descriptive Geometry’s Design Knowledge

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