Assessment of left ventricular systolic and diastolic function based on the edge detection method with myocardial ECG-gated SPET

2001 ◽  
Vol 28 (10) ◽  
pp. 1512-1516 ◽  
Author(s):  
Takahiro Higuchi ◽  
Kenichi Nakajima ◽  
Junichi Taki ◽  
Seigo Kinuya ◽  
Hisashi Bunko ◽  
...  
Keyword(s):  
Edge Detection ◽  
Diastolic Function ◽  
Detection Method ◽  
Left Ventricular ◽  
Gated Spet ◽  
Edge Detection Method ◽  
Systolic And Diastolic Function

Determination of normal regional left ventricular function from cine-MR images using a semi-automated edge detection method

1999 ◽  
Vol 17 (1) ◽  
pp. 99-107 ◽  
Author(s):  
Gordon D Waiter ◽  
Fergus I McKiddie ◽  
Thomas W Redpath ◽  
Scott I.K Semple ◽  
Roger J Trent
Keyword(s):  
Edge Detection ◽  
Left Ventricular Function ◽  
Ventricular Function ◽  
Detection Method ◽  
Left Ventricular ◽  
Mr Images ◽  
Regional Left Ventricular Function ◽  
Cine Mr ◽  
Edge Detection Method

Improved Canny edge detection method based on self-adaptive threshold

2013 ◽  
Vol 32 (8) ◽  
pp. 2296-2298 ◽  
Author(s):  
Fan ZHANG ◽  
Zhong-wei PENG ◽  
Shui-jin MENG
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Adaptive Threshold ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Edge Detection Method ◽  
Self Adaptive

scholarly journals Cut-Edge Detection Method for Rice Harvesting Based on Machine Vision

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 590
Author(s):  
Zhenqian Zhang ◽  
Ruyue Cao ◽  
Cheng Peng ◽  
Renjie Liu ◽  
Yifan Sun ◽  
...  
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Detection Method ◽  
Region Of Interest ◽  
Average Error ◽  
Vertical Projection ◽  
Cut Edge ◽  
Fitting Method ◽  
Combine Harvester ◽  
Edge Detection Method

A cut-edge detection method based on machine vision was developed for obtaining the navigation path of a combine harvester. First, the Cr component in the YCbCr color model was selected as the grayscale feature factor. Then, by detecting the end of the crop row, judging the target demarcation and getting the feature points, the region of interest (ROI) was automatically gained. Subsequently, the vertical projection was applied to reduce the noise. All the points in the ROI were calculated, and a dividing point was found in each row. The hierarchical clustering method was used to extract the outliers. At last, the polynomial fitting method was used to acquire the straight or curved cut-edge. The results gained from the samples showed that the average error for locating the cut-edge was 2.84 cm. The method was capable of providing support for the automatic navigation of a combine harvester.

Edge detection method of Gaussian block distance

2015 ◽  
Author(s):  
Di Jia ◽  
Cheng-long Xiao ◽  
Jin-guang Sun
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Edge Detection Method
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