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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
BMEN 6365 Kenneth Hoyt | |||||
A | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
BMEN 6365 Kenneth Hoyt | |||||
A | |||||
Biomedical Image Processing
BMEN 6365
Erik Jonsson School of Engineering and Computer Science
This course covers basic digital image processing techniques used for the analysis of images. Topics include spatial and frequency domain filtering, image restoration, morphological operators (e.g., erosion and dilation) and their uses (e.g., boundary extraction, extraction of connected components), image segmentation and pattern recognition. A percentage of the course grade is based on projects, which require students to program image processing techniques and apply them to images. 3 credit hours.
Offering Frequency: Each year
Grades: 62
Median GPA: A
Mean GPA: 3.650
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Biomedical Image Processing
BMEN 6365
Erik Jonsson School of Engineering and Computer Science
This course covers basic digital image processing techniques used for the analysis of images. Topics include spatial and frequency domain filtering, image restoration, morphological operators (e.g., erosion and dilation) and their uses (e.g., boundary extraction, extraction of connected components), image segmentation and pattern recognition. A percentage of the course grade is based on projects, which require students to program image processing techniques and apply them to images. 3 credit hours.
Offering Frequency: Each year
Grades: 62
Median GPA: A
Mean GPA: 3.650
Click a checkbox to add something to compare.
