Coastline extraction from SAR images using spatial fuzzy clustering and the active contour method

2016 ◽  
Vol 38 (2) ◽  
pp. 355-370 ◽  
Author(s):  
Mohammad Modava ◽  
Gholamreza Akbarizadeh
Keyword(s):  
Fuzzy Clustering ◽  
Active Contour ◽  
Contour Method ◽  
Sar Images ◽  
Active Contour Method

A 3D Hermite-based multiscale local active contour method with elliptical shape constraints for segmentation of cardiac MR and CT volumes

2017 ◽  
Vol 56 (5) ◽  
pp. 833-851 ◽  
Author(s):  
Leiner Barba-J ◽  
Boris Escalante-Ramírez ◽  
Enrique Vallejo Venegas ◽  
Fernando Arámbula Cosío
Keyword(s):  
Active Contour ◽  
Contour Method ◽  
Shape Constraints ◽  
Cardiac Mr ◽  
Elliptical Shape ◽  
Active Contour Method

Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach

2017 ◽  
Vol 5 (3) ◽  
pp. 577 ◽  
Author(s):  
Mahfuzah Mustafa ◽  
Hana Najwa Omar Rashid ◽  
Nor Rul Hasma Abdullah ◽  
Rosdiyana Samad ◽  
Dwi Pebrianti
Keyword(s):  
Breast Cancer ◽  
Active Contour ◽  
Contour Method ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Contour Segmentation ◽  
Digital Database ◽  
Active Contour Method ◽  
Low Pass ◽  
Screening Mammograms

<p>Breast cancer is one of the most common diseases diagnosed among female cancer patients. Early detection of breast cancer is needed to reduce the risk of fatality of this disease as no cure has been found yet for this illness. This research is conducted to improve the Gradient Vector Flow (GVF) Snake Active Contour segmentation technique in mammography segmentation. Segmentation of the mammogram image is done to segment lesions existence using Chan-Vese Active Contour and Localized Active Contour. Besides that, the effectiveness of these both methods are then compared and chosen to be the best method. Digital Database of Screening Mammograms (DDSM) is used for the purpose of screening. First, the images undergo pre-processing process using the Gaussian Low Pass Filter to remove unwanted noise. After that, contrast enhancement applied to the images. Segmentation of mammograms is then conducted by using Chan-Vese Active Contour and Localized Active Contour method. The result shows that Chan-Vese technique outperforms Localized Active Contour with 90% accuracy.</p>

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