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Description:
The demos were presented in the following order.
1: S1_1_Index.m : basic handling images with MATLAB
2: S1_2_Threshoulding_morph_coin_rice.m : thresholding, morphological image processing, blob analysis
3: S1_3_filtering : filtering of images.
4: face recognition:
This can be found by the following command
web([docroot '/vision/ref/vision.cascadeobjectdetector-system-object.html])
or in the following URL.
Please refer to Examples - Face Detection
5: S2_2a_optflow_webcam.m : optical flow
6: Tracking of cars with optical flow
This can be found by the following command
web([docroot '/vision/examples/tracking-cars-using-optical-flow.html'])
or the following URL.
7: S2_3_SURFfeatureMatchingEx.m : SURF feature matching
8: S3_findObjectAlgorithm.m : demo for card recognition
Cite As
Masa Otobe (2026). March 2013 Japanese webinar "Introduction to Image Processing and Computer Vision with MATLAB" (https://www.mathworks.com/matlabcentral/fileexchange/40630-march-2013-japanese-webinar-introduction-to-image-processing-and-computer-vision-with-matlab), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.2.0.1 (8.72 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
