A Fourier descriptor based on Zernike invariant moments in spherical coordinates for 3D pollen image recognition

2015 ◽  
Author(s):  
Xie Yonghua ◽  
Xu Zhaofei
Keyword(s):  
Image Recognition ◽  
Spherical Coordinates ◽  
Fourier Descriptor ◽  
Invariant Moments

The Study of Counting the Strapping Steel Pipes Based on Image Recognition

2012 ◽  
Vol 490-495 ◽  
pp. 3831-3835
Author(s):  
Xue Hua Li ◽  
Hui Min Liang ◽  
Zhi Kai Cao ◽  
Zhong Yun Jiang ◽  
Long Chen
Keyword(s):  
Mathematical Morphology ◽  
Image Recognition ◽  
Small Area ◽  
Detection Rate ◽  
Hough Transformation ◽  
Steel Pipes ◽  
Economic Profit ◽  
Invariant Moments ◽  
Good Market ◽  
Inner Diameter

The accurate count has been realized and the expected results have been acquired by the image of the end of steel pipes recognized, which has a good market prospect and economic profit. The mathematical morphology was used to preprocess image and inspect the edge of the target. An improved Hough Transformation was applied to recognize inner diameter of steel pipes, which improved the detection rate. The Hu invariant moments described in the area was used to recognize inner diameter of steel pipes, which realized the pipe sum accurately. The method to count points was used to realize the sum of pipes according to the condition that the inner diameter circus of binary pipe image was corroded more times came to change into small area.

Accelerating Fourier Descriptor for Image Recognition Using GPU

2016 ◽  
Vol 10 (1) ◽  
pp. 297-306 ◽  
Author(s):  
Bahri Haythem ◽  
Sayadi Fatma ◽  
Chouchene Marwa ◽  
Hallek Mohamed ◽  
Atri Mohamed
Keyword(s):  
Image Recognition ◽  
Fourier Descriptor
Sign in / Sign up

Export Citation Format

Share Document