A lane line segmentation algorithm based on adaptive threshold and connected domain theory

2018 ◽  
Author(s):  
Hui Feng ◽  
Guo-sheng Xu ◽  
Yi Han ◽  
Yang Liu
Keyword(s):  
Connected Domain ◽  
Adaptive Threshold ◽  
Segmentation Algorithm ◽  
Domain Theory ◽  
Lane Line ◽  
Line Segmentation

The Detection Method of Lane Line Based on the Improved Otsu Threshold Segmentation

2015 ◽  
Vol 741 ◽  
pp. 354-358 ◽  
Author(s):  
Yang Shan Tang ◽  
Dao Hua Xia ◽  
Gui Yang Zhang ◽  
Li Na Ge ◽  
Xin Yang Yan
Keyword(s):  
Image Segmentation ◽  
Processing Time ◽  
Detection Method ◽  
Segmentation Algorithm ◽  
Test Results ◽  
Threshold Segmentation ◽  
Otsu Method ◽  
Time Requirements ◽  
Lane Line ◽  
Center Distance

For overcoming the shortage of Otsu method, proposed an improved Otsu threshold segmentation algorithm. On the basis of Otsu threshold segmentation algorithm, the gray level was divided into two classes according to the image segmentation, to determine the best threshold by comparing their center distance, so as to achieve peak line recognition under the condition of multiple gray levels. Then did experiments on image segmentation of the lane line with MATLAB by traditional Otsu threshold segmentation algorithm and the improved algorithm, the threshold of traditional Otsu threshold segmentation algorithm is 144 and the threshold of the improved Otsu threshold segmentation algorithm is 131, the processing time is within 0.453 s. Test results show that the white part markings appear more, the intersection place of white lines and the background is more clear, so this method can identify lane markings well and meet the real-time requirements.

ON LINE SEGMENTATION ALGORITHM FOR ICU CONTINUOUSLY MONITORED CLINICAL DATA

2002 ◽  
Vol 35 (1) ◽  
pp. 139-144 ◽  
Author(s):  
S. Charbonnier ◽  
G. Becq ◽  
L. Biot ◽  
P.Y. Carry ◽  
J.P. Perdrix
Keyword(s):  
Clinical Data ◽  
Segmentation Algorithm ◽  
On Line ◽  
Line Segmentation

scholarly journals A Real-Time Line Segmentation Algorithm for An Offline Overlapped Handwritten Jawi Character Recognition Chip

2007 ◽  
Vol 20 (2) ◽  
pp. 171-182 ◽  
Author(s):  
Zaidi Razak ◽  
Khansa Zulkiflee ◽  
Rosli Salleh ◽  
Mashkuri Yaacob ◽  
Emran Mohd Tamil
Keyword(s):  
Real Time ◽  
Character Recognition ◽  
Segmentation Algorithm ◽  
Time Line ◽  
Line Segmentation

Analysis on Continuous Monitoring Data for ICU Based on On-Line Segmentation Algorithm

2013 ◽  
Vol 427-429 ◽  
pp. 1489-1492
Author(s):  
Fang Wang
Keyword(s):  
Time Series ◽  
Continuous Monitoring ◽  
Evaluation Method ◽  
Time Series Data ◽  
Segmentation Algorithm ◽  
Monitoring Data ◽  
Series Data ◽  
Recursion Method ◽  
On Line ◽  
Line Segmentation

It is all kinds of data monitoring for ICU that are very important, on the one hand, it can provide reliable reference for medical personnel, so that they can care for critical patients in time, on the other hand, it also can avoid bringing trouble which is caused by instrument to severe patients. Through the mining technology of time series data ,this paper uses online segmentation algorithm of time series, establishing continuous monitoring data model for ICU and creating a time series Table, from the data of which, it can quickly extract monitoring data, and do real-time analysis. On this basis, this paper also puts forward an evaluation method for on-line segmentation algorithm performance , and also puts forward a kind of algorithm to speed up the time sequence segmentation recursion method, which can quickly extract the key components in the data, so as to accelerate the analysis on continuous monitoring data . Finally, through the continuous monitoring and analysis on the pressure of the severe patients who are inserted artificial airway balloon, this paper tests the reliability of the algorithm, and through the analysis and comparison with the data, it proves the quickness of algorithm, and provides a theoretical basis for analysis on continuous monitoring data for ICU.

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