Post-segmentation processing based on image morphology

2021 ◽  
Author(s):  
Zhiying Zhang ◽  
Chao Huang
Keyword(s):  
Image Morphology

Image Morphology-Based Path Generation for High-Speed Pocketing

2020 ◽  
Vol 142 (4) ◽  
Author(s):  
Bingfei Xiang ◽  
Yingguang Li ◽  
Ke Xu ◽  
Mengyuan Yang
Keyword(s):  
High Speed ◽  
Geometric Constraints ◽  
Aviation Industry ◽  
Path Generation ◽  
Pocket Milling ◽  
Parallel Path ◽  
Mirror Milling ◽  
Local Modification ◽  
Initial Path ◽  
Image Morphology

Abstract Pocket milling has long been a popular means for machining pocket features in structural parts and skins in the aviation industry. Recent advanced milling technologies pose new challenges for pocket milling path which existing contour-parallel path generation schemes cannot overcome. For high-speed machining, pocket milling path is desired to be smooth and with no tool retractions during the process, while the path stepover should be kept within a prescribed range to achieve relatively constant cutting load. These geometric constraints are also vital in the application of aircraft skin mirror milling in order to guarantee a correct and consistent thickness signal reception for real-time adjustment of the process. Traditional path optimization based on local modification can only meet a few of these constraints while others are being violated. Therefore, we propose a novel contour-parallel path generation scheme that respects all these process constraints by utilizing the idea of image morphology. The two-step scheme first generates an initial path by propagating from the rectified medial curve of the pocket shape. The initial path is then treated as a binary image being iteratively deformed and projected back into the pocket region via quadratic optimization. Experimental results show that our developed scheme can generate a smooth, tool retraction free and stepover-guaranteed path for various shapes of pocket.

scholarly journals Correcting anisotropic intensity in light sheet images using dehazing and image morphology

2020 ◽  
Vol 4 (3) ◽  
pp. 036103
Author(s):  
Tanveer Teranikar ◽  
Victoria Messerschmidt ◽  
Jessica Lim ◽  
Zach Bailey ◽  
Jung-Chih Chiao ◽  
...  
Keyword(s):  
Light Sheet ◽  
Image Morphology

Application of image morphology in detecting and extracting the initial welding position

2012 ◽  
Vol 17 (3) ◽  
pp. 323-326 ◽  
Author(s):  
Shan-chun Wei ◽  
Jian Wang ◽  
Tao Lin ◽  
Shan-ben Chen
Keyword(s):  
Image Morphology ◽  
Welding Position

scholarly journals Optical implementation of visible gray-image morphology with the visual-area-coding technique

1996 ◽  
Vol 35 (8) ◽  
pp. 1234 ◽  
Author(s):  
Tsuyoshi Konishi ◽  
Shuji Taniguchi ◽  
Jun Tanida ◽  
Yoshiki Ichioka
Keyword(s):  
Visual Area ◽  
Gray Image ◽  
Image Morphology

Application of Image Processing in Plasma Jet Morphological Analysis

2012 ◽  
Vol 229-231 ◽  
pp. 1136-1139 ◽  
Author(s):  
Xiao Jing Tian ◽  
Hua Jun Dong ◽  
Da Peng Yin ◽  
Zi Yu Zhao
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Morphological Analysis ◽  
Detection Method ◽  
Plasma Jet ◽  
Improved Method ◽  
Forming Quality ◽  
Sobel Operator ◽  
Image Morphology ◽  
Edge Detection Method

The morphology of plasma jet (PJ) directly demonstrates whether the procedure of spray processes is stable. The paper proposes an acquisition system of PJ images and an improved edge detection method is presented to get the morphology of PJ. Firstly, the PJ images are gray enhanced to remove the influence of noises. Then they are enhanced with edge sharpening. At last, they are edge detected through Canny, Laplacian and Sobel operator. From the results we can see that the improved method can get more clear and more complete PJ image morphology than traditional one. The processing methods provide foundation for the online detection of PJ morphology and for diagnosing the forming quality.

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