Segmentation Assisted Object Distinction for Direct Volume Rendering
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JADM-8-1_007
تاریخ نمایه سازی: 1 مرداد 1399
Abstract:
Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an image processing based approach towards enhancing ray casting technique for object distinction process. The rendering mode is modified to accommodate masking information generated by a K-means based hybrid segmentation algorithm. An effective set of image processing techniques are creatively employed in construction of a generic segmentation system capable of generating object membership information.
Authors
A. Azimzadeh Irani
School of Mathematics and Computer Science, Damghan University, Damghan, Iran.
R. Pourgholi
School of Mathematics and Computer Science, Damghan University, Damghan, Iran.