scholarly journals Semi-Automatic Image Segmentation on X-ray Image of Spine using Active Contour Method

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Tri Arief Sardjono ◽  
Ahmad Fauzi Habiba Chozin ◽  
Muhammad Nuh
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Splitting Method ◽  
Histogram Equalization ◽  
Spinal Curvature ◽  
Contour Method ◽  
Interactive Segmentation ◽  
X Ray ◽  
Segmentation Process ◽  
Active Contour Method

Currently, many image analysis methods have been developed on X-Ray of scoliotic patients. However, segmentation of spinal curvature is still a challenge, and needs to be improved. In this research, we proposed a semi-automatic spinal image segmentation of scoliotic patients from X-Ray images. This method is divided into 2 steps: preprocessing and segmentation process. A conversion process from RGB to grayscale and CLAHE (Contrast Limited Adequate Histogram Equalization) method was used in image preprocessing. The active contour method was used for the segmentation process. The result shows that segmentation of spinal X-ray images of scoliotic patients using active contour method interactively, can give better results. The average of ME and RAE values are 12.98% and 26.75 %. instead of using the interactive region splitting method which gets 21.17% and 89.27%. Keywords: active contour, interactive segmentation, pre-processing, scoliosis. 

Saliency map based active contour method for automatic image segmentation

2012 ◽  
Author(s):  
Changcai Yang ◽  
Xinyi Zheng ◽  
Shengxiang Qi ◽  
Jinwen Tian ◽  
Sheng Zheng
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Saliency Map ◽  
Contour Method ◽  
Active Contour Method

scholarly journals SEGMENTASI CITRA PARU-PARU MENGGUNAKAN METODE KONTUR AKTIF DENGAN VALIDASI ROC

2019 ◽  
Vol 16 (2) ◽  
pp. 91
Author(s):  
Sintha Syaputri ◽  
Zulkarnain Zulkarnain
Keyword(s):  
Active Contour ◽  
Operating Characteristic ◽  
Outer Edge ◽  
Contour Method ◽  
Body Parts ◽  
X Ray ◽  
Average Percentage ◽  
Contour Segmentation ◽  
Active Contour Method ◽  
Chest X Ray

Segmentation is the process of separating parts of objects from the background by dividing images that have different object intensities with each other such as in imaging of body parts. Active contour segmentation was used for medical imaging that resistant to noise around objects. This study used 5 chest X-Ray images, specifically to the lungs with a grayscale format measuring 256 x 256 pixels, through the preprocessing process and filtering  a Gaussian filter, each image was inputted to the R2015a version of the matlab GUI program. Then the segmentation had done by using the active contour method. In this method a curve in the form of a small circle was placed on the edge of object to be segmented. The curve will move according to the shape of the outer edge of the lung based on the values of active contour parameters such as Alpha, Beta, Gamma, Kappa, WEline, WEdge, WEterm and Iteration. Validation was done by using the ROC (Receiver Operating Characteristic) method and were obtained an average percentage with an accuracy value of 96.26%, a specificity of 96.47% and a sensitivity of 76.54%.

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