Peach & Pit Volume Measurement and 3D Visualization using Magnetic Resonance Imaging Data
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김철수 (Division of Bioresource Systems Engineering, Chonbuk National University) |
1 |
Quantification and segmentation of brain tissues from MR images;A probabilistic neural network approach
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2 |
Fruit internal quality evaluation using nuclear magnetic resonance sensors
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DOI ScienceOn |
3 |
Development of automatic systems for 3D visualization of biological objects
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과학기술학회마을 |
4 |
High quality rendering of artributed volume data
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5 |
Three dimensional visualization for vessel structure of grafted seedings
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6 |
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7 |
A review of nondestructive methods for quality evaluation and sorting of agricultural products
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DOI ScienceOn |
8 |
Mealiness assesment in apples using MRI techniques
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DOI ScienceOn |
9 |
3D segmentation of MR images of the head for 3D display
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DOI |
10 |
Use og Magnetic resonance imaging for evaluation of beer foam characteristics
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DOI |
11 |
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12 |
Quantitative magnetic resonance imaging of fresh and frozen-thawed trout
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DOI ScienceOn |
13 |
Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks
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14 |
Segmentation of 3D-volumes using second derivatives
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15 |
A new approach to the determination of unbiased thresholds for image segmentation
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DOI |
16 |
A novel volumetric feature extraction technique with applications to MR images
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DOI |
17 |
Developmenr and evaluation of system for 3D visualization model of biological objects
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과학기술학회마을 |
18 |
Real-time detection of pits in processed cherries by magnetic reonance projections
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19 |
Volume rendering of 3D mdeical ultrasound data using direct feature mapping
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20 |
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