Matlab prepared by the classical algorithm of the Itti visual attention model, there is a need can download more content, similar to the original English text literature online.

usefulitti\attenuateBorders.m
..........\basename.m
..........\callingFunctionName.m
..........\centerSurround.m
..........\centerSurroundTopDown.m
..........\clamp.m
..........\combineMaps.m
..........\conv2PreserveEnergy.m
..........\debugMsg.m
..........\declareGlobal.m
..........\defaultGaborParams.m
..........\defaultLevelParams.m
..........\defaultSaliencyParams.m
..........\defaultSaliencyParams0.m
..........\emptyMap.m
..........\ensureDirExists.m
..........\gaborFilterMap.m
..........\gaussian.m
..........\getRGB.m
..........\html\Itti.html
..........\initializeGlobal.m
..........\initializeImage.m
..........\Itti.m
..........\loadImage.m
..........\makeBlueYellowPyramid.m
..........\makeDyadicPyramid.m
..........\makeFeaturePyramids.m
..........\makeGaborFilter.m
..........\makeGaussianPyramid.m
..........\makeHuePyramid.m
..........\makeIntensityPyramid.m
..........\makeOrientationPyramid.m
..........\makeRedGreenPyramid.m
..........\makeSaliencyMap.m
..........\makeSqrt2Pyramid.m
..........\maxNormalize.m
..........\maxNormalizeIterative.m
..........\maxNormalizeLocalMax.m
..........\mexConv2PreserveEnergy.mexw32
..........\mexFileLost.m
..........\mexGaussianSubsample.cpp
..........\mexGaussianSubsample.m
..........\mexGaussianSubsample.mexw32
..........\mexLocalMaxima.mexw32
..........\normalizeImage.m
..........\safeDivide.m
..........\sepConv2PreserveEnergy.m
..........\timeString.m
..........\va_main.m
..........\html
usefulitti

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