An Image Recognition Algorithm for Automatic Counting of Brain Cells of Fruit Fly

2006 ◽  
pp. 95-99 ◽  
Author(s):  
T. Shimada ◽  
K. Kato ◽  
K. Ito
Keyword(s):  
Image Recognition ◽  
Fruit Fly ◽  
Recognition Algorithm ◽  
Brain Cells ◽  
Automatic Counting

Research on Enhancement Technology of Conveyor Belt Fault Images Based on Fruit Fly Optimization Algorithm

2014 ◽  
Vol 8 (1) ◽  
pp. 685-689
Author(s):  
Chunqing Ye ◽  
Changyun Miao ◽  
Xianguo Li ◽  
Yanli Yang
Keyword(s):  
Optimization Algorithm ◽  
Detection System ◽  
Fruit Fly ◽  
Conveyor Belt ◽  
Recognition Algorithm ◽  
Fruit Fly Optimization Algorithm ◽  
Fruit Fly Optimization ◽  
Wire Ropes ◽  
Fault Recognition ◽  
Steel Cord

In this research, we studied the fault recognition algorithm of steel cord conveyor belt, and obtained the wire ropes image by adopting the detection system of steel cord conveyor belt, so that the fault recognition algorithm of steel cord conveyor belt was proposed based on Fruit fly optimization algorithm. As we know that the fruit fly optimization algorithm is used for fault detection of the processing steel cord conveyor belt image and for obtaining the fault image. In the MATLAB environment, the algorithm process was designed and verified in terms of the effectiveness and accuracy. The experimental results show that with fast speed and high accuracy in detecting the fault image of steel cord conveyor belt rapidly and accurately, and in classifying scratch from fracture the proposed algorithm is suitable for the fault recognition of steel cord conveyor belt automatically.

A Study on Safety Helmet Detection Using Image Recognition Algorithm

2020 ◽  
Vol 25 (4) ◽  
pp. 350-357
Author(s):  
Chun-myoung Noh ◽  
Ki-Kwan Kim ◽  
Su-bong Lee ◽  
Dong-hoon Kang ◽  
Jae-chul Lee
Keyword(s):  
Image Recognition ◽  
Recognition Algorithm

Weld Seam Recognition Based on Wavelet Analysis Algorithm

2011 ◽  
Vol 480-481 ◽  
pp. 1593-1597
Author(s):  
You Rui Huang ◽  
Na Na Zhao
Keyword(s):  
Genetic Algorithm ◽  
Wavelet Analysis ◽  
Image Recognition ◽  
Weld Seam ◽  
Wavelet Coefficient ◽  
Recognition Algorithm ◽  
Seam Tracking ◽  
Vision Sensor ◽  
Immune Genetic Algorithm ◽  
Analysis Algorithm

Vision sensor for weld seam location and seam tracking is developed. It is difficult for realizing picture precise identification based on machine welding at present, the image recognition algorithm based on wavelet analysis is designed in this paper. It uses immune genetic algorithm to optimize wavelet coefficient, and extracts the edge of picture preferably. In the process of detecting edges, compared with the others, the algorithm can inhibit the interference of noises effectively and remove artifacts of edges, which make the detected edge clearly and carefully. The result shows that the wavelet analysis algorithm has better effect for weld seam recognition.

Complex image recognition algorithm based on immune random forest model

2020 ◽  
Vol 24 (16) ◽  
pp. 12643-12657 ◽  
Author(s):  
Xiaoyu Zhang ◽  
Wei Huang ◽  
Xiao Lin ◽  
Linhua Jiang ◽  
Yan Wu ◽  
...  
Keyword(s):  
Random Forest ◽  
Image Recognition ◽  
Recognition Algorithm ◽  
Random Forest Model ◽  
Forest Model ◽  
Complex Image
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