Lung Parenchyma Segmentation Based on Contourlet Transform and Harris Corner Detection

2013 ◽  
Vol 333-335 ◽  
pp. 998-1001
Author(s):  
Li Nan Fan ◽  
He Huang ◽  
Dan Tian
Keyword(s):  
Left Lung ◽  
Lung Parenchyma ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Contourlet Transform ◽  
Average Accuracy ◽  
Harris Corner ◽  
The Common ◽  
The Right ◽  
Harris Corner Detection

This paper presents a new automatic lung segmentation method. Harris corner detection algorithm is used to solve the problem of separating the left lung from the right one, and contourlet transform and mathematical morphology hybrid algorithm are used to solve the problem that the nodules at lung edge is easy to be missed. Through the simulation results of multiple lung CT images, compared with the common algorithms, the results show that the average sensitivity and average accuracy become much better.

scholarly journals An Improved Corner Detection Algorithm Based on Harris

2012 ◽  
Vol 6-7 ◽  
pp. 717-721 ◽  
Author(s):  
Zhao Yang Zeng ◽  
Zhi Qiang Jiang ◽  
Qiang Chen ◽  
Pan Feng He
Keyword(s):  
Computation Time ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Test Results ◽  
Harris Corner ◽  
Texture Complexity ◽  
Harris Corner Detection ◽  
Better Than

In order to accurately extract corners from the image with high texture complexity, the paper analyzed the traditional corner detection algorithm based on gray value of image. Although Harris corner detection algorithm has higher accuracy, but there also exists the following problems: extracting false corners, the information of the corners is missing and computation time is a bit long. So an improved corner detection algorithm combined Harris with SUSAN corner detection algorithm is proposed, the new algorithm first use the Harris to detect corners of image, then use the SUSAN to eliminate the false corners. By comparing the test results show that the new algorithm to extract corners very effective, and better than the Harris algorithm in the performance of corner detection.

Detection of honeycomb cell walls from measurement data based on Harris corner detection algorithm

2018 ◽  
Vol 29 (6) ◽  
pp. 065004
Author(s):  
Yan Qin ◽  
Zhigang Dong ◽  
Renke Kang ◽  
Jie Yang ◽  
Babajide O Ayinde
Keyword(s):  
Cell Walls ◽  
Measurement Data ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Harris Corner ◽  
Honeycomb Cell ◽  
Harris Corner Detection
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