Automated detection method for architectural distortion areas on mammograms based on morphological processing and surface analysis

2004 ◽  
Author(s):  
Tetsuko Ichikawa ◽  
Tomoko Matsubara ◽  
Takeshi Hara ◽  
Hiroshi Fujita ◽  
Tokiko Endo ◽  
...  
Keyword(s):  
Surface Analysis ◽  
Detection Method ◽  
Automated Detection ◽  
Morphological Processing ◽  
Architectural Distortion

Detection method for architectural distortion based on analysis of structure of mammary gland on mammograms

2005 ◽  
Vol 1281 ◽  
pp. 1036-1040 ◽  
Author(s):  
T. Matsubara ◽  
D. Fukuoka ◽  
N. Yagi ◽  
T. Hara ◽  
H. Fujita ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Detection Method ◽  
Architectural Distortion

An automated detection method for the MCA dot sign of acute stroke in unenhanced CT

2013 ◽  
Vol 7 (1) ◽  
pp. 79-88 ◽  
Author(s):  
Noriyuki Takahashi ◽  
Yongbum Lee ◽  
Du-Yih Tsai ◽  
Eri Matsuyama ◽  
Toshibumi Kinoshita ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Detection Method ◽  
Automated Detection ◽  
Unenhanced Ct

An Effective Method for Defects Detection in Radiographic Images of Welds Based on Edge Detection and Morphology

2013 ◽  
Vol 290 ◽  
pp. 71-77
Author(s):  
Wen Ming Guo ◽  
Yan Qin Chen
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Detection Algorithm ◽  
Morphological Processing ◽  
Radiographic Images ◽  
X Ray ◽  
Weld Defects ◽  
Detection Algorithms ◽  
Detection Quality

In the current industrial production, as steel weld X-ray images are low contrasted and noisy, the efficiency and precision can’t be both ensured. This paper has studied three different edge detection algorithms and found the most suitable one to detect weld defects. Combined with this edge detection algorithm, we proposed a new weld defects detection method. This method uses defect features to find the defects in edge images with morphological processing. Compared to the traditional methods, the method has ensured detection quality of weld defects detection.

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