Research on SSD Countersink Defect Detection Method Based on Machine Vision
نویسندگان
چکیده
منابع مشابه
Research on key technologies of medicine grain defect detection system based on machine vision
In the process of medicine grain production may generate many kinds of defects. If these unqualified medicine granules are not timely detected, it will not only affect the company's reputation but also the health of the patient. This paper mainly studied how to detect the unqualified medicine grain base on machine vision. It mainly consists of three kinds of common defects segmentation and defe...
متن کاملMethod of Mesh Fabric Defect Inspection Based on Machine Vision
An appearance defect online inspection system of mesh fabric has been developed based on machine vision. The mean filter method is adopted to eliminate noise. An adaptive threshold method based on brightness is presented to eliminate the effects of uneven illumination and separate the foreground and background. By analyzing the texture characteristics and defect features of mesh fabric, the mes...
متن کاملResearch on Parts Measurement Method Based on Machine Vision
This paper has described the measurement method of the phone slot on the assembly line. The method is based on computer vision. After reducing the effect of noise through fast median method, the authors locate the target area. Thus the authors extract the target area. The authors have proposed an edge detection algorithm based on the improved canny operator. The authors also have put forward th...
متن کاملGlass Product Defects Detection Method Based on Machine Vision
This paper develops the machine vision based detection method to detect glass products defects. The novel segmentation method based on unsupervised learning is proposed to segment the defect regions and background. The fuzzy support vector machine was adopted as classifiers for the extracted features. The experimental results indicated the accuracy rate can reach up to 96.7 % by using the metho...
متن کاملFabric Defect Detection Based on Computer Vision
Broken ends, missing picks, oil stain and holes are the most common fabric defects. To deal with the situation that manual fabric detection will affected by the subjective factors of inspectors, an automatic computer vision based fabric defect detection method is introduced in this paper. The system uses threshold segmentation method to identify if there are any defects existed in the fabric, a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2021
ISSN: 1755-1315
DOI: 10.1088/1755-1315/632/4/042068