Automated Deform Detection On Automotive Body Panels Using Gradient Filtering And Fuzzy C-Mean Segmentation
Automatic deform detection on automotive body panel is challenging owing to its localization on a large surface, variation in appearance, and their rare occurrences. It is difficult to detect these deforms either by original models or by small-sample statistics using a single threshold. As a consequ...
Saved in:
Main Authors: | Muhammad Zuhair Bolqiah, Edris, Zahriladha, Zakaria, Mohd Shahril Izuan, Mohd Zin, Mohammed Saeed, Jawad |
---|---|
格式: | Article |
語言: | English |
出版: |
Penerbit UTM Press
2016
|
主題: | |
在線閱讀: | http://eprints.utem.edu.my/id/eprint/17099/1/Automated%20Deform%20Detection%20On%20Automotive%20Body%20Panels%20Using%20Gradient%20Filtering%20And%20Fuzzy%20C-Mean%20Segmentation.pdf http://eprints.utem.edu.my/id/eprint/17099/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Automated Deform Detection For Automotive Body Panels Using Image Processing Techniques
由: Edris, Muhammad Zuhair Bolqiah
出版: (2016) -
Surface Defect Detection And Neural Network Recognition Of Automotive Body Panels
由: Muhammad Zuhair Bolqiah, Edris, et al.
出版: (2016) -
Water-body segmentation in satellite imagery applying modified Kernel K-means
由: Yousefi, Paria, et al.
出版: (2018) -
Large deformation of core materials for sandwich panels
由: Speich, Marco, et al.
出版: (2010) -
Segmentation of fingerprint image based on gradient magnitude and coherence
由: Saparudin, Saparudin, et al.
出版: (2015)