Computer Vision: Binary Image Analysis
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Thresholding, Morphology, Connected Components, Region Properties

Kapitel:

Start Kapitel
00:00:57
Announcements
00:02:09
Binary Images
00:02:47
Uses
00:09:10
Issues
00:10:11
Outline of Today's Lecture
00:11:32
Thresholding
00:12:53
Selecting Thresholds
00:14:38
Bimodal Intensity Histograms
00:15:46
Not so Nice Cases...
00:18:17
Global Binarization [Otsu'79]
00:23:26
Algorithm
00:27:42
Local Binarization [Niblack'86]
00:31:02
Effects
00:34:21
Additional Improvements
00:36:15
Polynomial Surface Fitting
00:43:38
Surface Fitting
00:45:36
Result Comparison
00:50:24
Cleaning the Binarized Results
00:51:09
Morphological Operators
00:52:25
Dilation
00:57:31
Erosion
00:59:18
Effects
01:01:11
Opening
01:04:00
Effect of Opening (size)
01:05:03
Effect of Opening (shape)
01:07:04
Closing
01:08:24
Effect of Closing
01:09:08
Example Application: Opening + Closing
01:10:14
Application: Blob Tracking
01:11:09
Morphological Boundary Extraction
01:12:04
Morphology Operators on Grayscale Images
01:12:52
Connected Components Labeling
01:14:07
Examples
01:14:44
Connectedness
01:15:21
Sequential Connected Components
01:20:08
Sequential Connected Components (2)
01:23:24
Application: Segmentation of a Liver
01:24:04
(questions)
01:26:35
Region Properties
01:26:52
Area and Centroid
01:27:18
Circularity
01:28:17
Invariant Descriptors
01:28:31
Central Moments
01:29:54
Moment Invariants ("Hu Moments")
01:31:48
Axis of Least Second Moment
01:32:33
Summary: Binary Image Processing
01:33:36
References and Further Reading