Regions of Interest Maximum Symmetric Surround Saliency Algorithm
Quick Start Guide
SaliencyDetector [options] inputfile.jpg outputfile.jpg -h, --help display this help and exit -q, --quiet quiet mode -v, --verbose enable verbose mode -V, --version print program version --normalize normalize greyscale output --threshold convert saliency map to a two colour image -L<num> lower threshold (def. 12.5 %) for black cut-off for two colour conversion. -U<num> upper threshold (def. 75%) for white cut-off for two colour conversion Note: setting either of the above two implies --threshold --blocks convert saliency map to series of averaged blocks --qblocks convert saliency map to series of averaged blocks quantized to 4 colours.
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression and object recognition. Recently, full-resolution salient maps that retain well-defined boundaries have attracted attention. In these maps, boundaries are preserved by retaining substantially more frequency content from the original image than older techniques. However, if the salient regions comprise more than half the pixels of the image, or if the background is complex, the background gets highlighted instead of the salient object.
Maximum Symmetric Surround Saliency is a method for salient region detection that retains the advantages of full resolution saliency maps with well-defined boundaries while overcoming their shortcomings. It exploits features of color and luminance, is simple to implement and is computationally efficient.
Go to /Release (or /Debug if you want all debugging flags built in) and run "make all" to generate the "SaliencyDetector" binary which you can put in your local $PATH.
We successfully ran builds on both OSX and Linux, provided that a current version of ImageMagick is installed on your system as we rely on ImageMagick for gobbling up the image binary data and outputting the resulting saliency-map image.
There are up-to-date precompiled OSX binaries of SaliencyDetector available in the /Binary directory within this repository.
Success Meme Baby, salient two colors Here we used the inbuilt --threshold switch to reduce the saliency map to only 2-color black and white pixels, which makes the salient regions very easy to detect programmatically.
Note how the saliency detector has successfully ignored the background as well as monotone areas in the foreground so that only detailed, multicolored areas stay as parts of the regions of interest. This way, processes like adaptive compression have an awesome basis to operate on.
This software is published under the BSD licence 3.0
Copyright (c) 2014, Tobias Baldauf All rights reserved.
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