Image & Video Processing
Several mini projects and course exercises done in the subjects Image Processing and Digital Image Processing. The projects use different approaches:
Pixel Model
Histogram transf.: contrast, binarization.. Pseudo-color: MRI processing, X-Ray... |
Space-Frequency Model
Filtering: noise removal, detect countours... DCT / KLT Transf.: compression of pictures Wavelet Transf.: compression of pictures |
Geometric Approach
Dilatation / Erosion: detect contours Opening / Closing: remove small objects Top Hat: detect small objects Reconstruction by opening/dilatation |
Segmentation
Binarization / active contours: detect transitions Thresholds / Min. Historam / Max Loyd: classification Split & Merge / Region Merging / Watersheed: direct segmentation |
Video
Pixel model Detection of changes: survilliance Space-Frequency model Gradient basic technique: mosaic creation Block matching: motion estimation, video coding Region-based model Temporal segmentation: shot detection Spatial/Temporal homogeniety-based seg.: motion estimation |