کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
505336 864492 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Active surface model improvement by energy function optimization for 3D segmentation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Active surface model improvement by energy function optimization for 3D segmentation
چکیده انگلیسی


• We improve DAS in different parts to enhanced overall results of algorithms.
• Two different external energies are presented.
• As the first external energy, we use gradient of the wavelet edge map.
• We use phase coherence of wavelet image near each pixel as second external energy.
• We apply our method on CT images of different organs to validate their performance.

This paper proposes an optimized and efficient active surface model by improving the energy functions, searching method, neighborhood definition and resampling criterion. Extracting an accurate surface of the desired object from a number of 3D images using active surface and deformable models plays an important role in computer vision especially medical image processing. Different powerful segmentation algorithms have been suggested to address the limitations associated with the model initialization, poor convergence to surface concavities and slow convergence rate. This paper proposes a method to improve one of the strongest and recent segmentation algorithms, namely the Decoupled Active Surface (DAS) method. We consider a gradient of wavelet edge extracted image and local phase coherence as external energy to extract more information from images and we use curvature integral as internal energy to focus on high curvature region extraction. Similarly, we use resampling of points and a line search for point selection to improve the accuracy of the algorithm. We further employ an estimation of the desired object as an initialization for the active surface model. A number of tests and experiments have been done and the results show the improvements with regards to the extracted surface accuracy and computational time of the presented algorithm compared with the best and recent active surface models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 59, 1 April 2015, Pages 87–97
نویسندگان
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