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Home / Science / Technology / Electrical Engineering / Image Processing / Demos
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Web Sites
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- CIRES: Content-based Image Retrieval System - This system employs texture analysis via a Gabor filter bank, CIE Lab space color histogram, and structural analysis using perceptual grouping principles.
amazon.ece.utexas.edu/~qasim/qdialog.htm
- CIS: Semantics-based Categorical Image Search and Retrieval - CIS is a semantics-based image search engine developed at Vision Research Lab at UCSB. Instead of using a bottom up method, CIS utilizes a top-down approach to categorize images semantically.
nayana.ece.ucsb.edu/imsearch/imsearch.html
- JSEG: Image Segmentation Demo - Online Segmentation Demo using JSEG algorithm developed at Vision Research Lab at UCSB.
maya.ece.ucsb.edu/JSEG/demo
- NETRA2: Region-based Retrieval - NETRA 2: A Region-Based Image Retrieval System from Vision Research Lab at UCSB
maya.ece.ucsb.edu/Netra/index2.html
- NETRA: A Content-based Image Retrieval System - A Content-Based Image Retrieval System from Vision Research Lab at UCSB combining shape, texture, color, and spatial locations. Image segmentation part is done using the Edgeflow segmentation method.
maya.ece.ucsb.edu/Netra
- Online Image Processing Tools - This demo allows you to process your own images via the web. Tools include Stereo images, Segmentation, Zerocrossings, Contourlines, Histogram-Transformations, Color-Separations, Anaglyph Creation, Principal Components.
axon.physik.uni-bremen.de/online_calc
- Pic2segment image segmentation demo - Image segmentation demo from Isis (Intelligent Sensory Information Systems) research group at University of Amsterdam.
zomax.wins.uva.nl:5345/seg_fixed
- SIMPLIcity - Large-scale content-based image retrieval by James Wang, Jia Li, and Gio Wiederhold. Uses wavelets to Classify web sites and web images.
www-db.stanford.edu/IMAGE
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