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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"                "http://www.w3.org/TR/REC-html40/loose.dtd"><html><head>  <title>Description of dataStructures</title>  <meta name="keywords" content="dataStructures">  <meta name="description" content="dataStructures - lists the data structures used in the SaliencyToolbox.">  <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">  <meta name="generator" content="m2html &copy; 2003 Guillaume Flandin">  <meta name="robots" content="index, follow">  <link type="text/css" rel="stylesheet" href="../m2html.css"></head><body><a name="_top"></a><div><a href="../index.html">Home</a> &gt;  <a href="#">mfiles</a> &gt; dataStructures.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png">&nbsp;Master index</a></td><td align="right"><a href="index.html">Index for .\mfiles&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>dataStructures</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>dataStructures - lists the data structures used in the SaliencyToolbox.</strong></div><h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>This is a script file. </strong></div><h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre class="comment"> dataStructures - lists the data structures used in the SaliencyToolbox. DATA STRUCTURES USED IN THE SALIENCYTOOLBOX Global variables    IS_INITIALIZED: flag that initializeGlobal was called.    IMG_EXTENSIONS: cell arrays with possible extensions for image files.         DEBUG_FID: file identifier for debugMsg output.                PD: path delimiter for your operating system.          BASE_DIR: base directory for data and image locations.           IMG_DIR: directory for images.          DATA_DIR: directory for data.           TMP_DIR: directory for temporary files.  See also <a href="initializeGlobal.html" class="code" title="function initializeGlobal(varargin)">initializeGlobal</a>, <a href="declareGlobal.html" class="code" title="">declareGlobal</a>, <a href="debugMsg.html" class="code" title="function debugMsg(message,varargin)">debugMsg</a>. Image - stores information about an image.   filename: the file name relative to IMG_DIR.       data: the image data (UINT8 or double)             Each image structure has to contain the filename or the data             field. It can have both.       type: some text label.       size: the size of the image.       dims: the number of dimensions of the image (2 or 3).       date: time stamp. See also <a href="initializeImage.html" class="code" title="function [Img,err] = initializeImage(varargin);">initializeImage</a>. Map - 2d data structure with extra information.     origImage: Image from which this map was computed.         label: text label identying the map.          data: 2d array with the map data.          date: time stamp.    parameters: parameters used for generating this map. See also <a href="displayMap.html" class="code" title="function displayMap(map,varargin)">displayMap</a>, <a href="displayMaps.html" class="code" title="function displayMaps(maps,varargin)">displayMaps</a>. Pyramid - a multi-resolution pyramid for a particular feature.    origImage: the source image.        label: text label denoting the feature.         type: type of subsampling, one of: 'dyadic','sqrt2','TopDown'.       levels: vector of maps containing the levels of this pyramid.         date: time stamp. See also <a href="makeFeaturePyramids.html" class="code" title="function pyrs = makeFeaturePyramids(img,featureType,salParams,varargin)">makeFeaturePyramids</a>, <a href="displayPyramid.html" class="code" title="function displayPyramid(pyr,varargin)">displayPyramid</a>, <a href="runSaliency.html" class="code" title="function runSaliency(inputImage,varargin)">runSaliency</a>. SaliencyParams - set of parameters used for generating a saliency map.               foaSize: size of the focus of attention for disk-IOR.           pyramidType: 'dyadic' or 'sqrt2'.              features: cell array of the features to be used for saliency computation                        possible values: 'Color', 'Intensities', 'Orientations', 'Skin','TopDown'.               weights: vector of weights for each feature (same length as features)               IORtype: type of inhibition of return, one of: 'shape','disk','None'.             shapeMode: one of: 'None','shapeSM','shapeCM','shapeFM','shapePyr'.           levelParams: structure with pyramid level parameters.              normtype: Map normalization type, one of: 'None','LocalMax','Iterative'.               numIter: Number of iterations for 'Iterative' normtype.             useRandom: Use random jitter (1) or not (0) for converting coodinates.    segmentComputeType: Method for shape segmentation, one of: 'Fast','LTU'.         smOutputRange: saliency map output in Amperes (1e-9).             noiseAmpl: amplitude of random noise (1e-17).            noiseConst: amplitude of contant noise (1e-14).           gaborParams: structure with parameters for Gabor orientation filters.             oriAngles: vector with orientation angles (in degrees).    visualizationStyle: style used for visualizing attended locations,                        one of: 'Contour', 'ContrastModulate', 'None'. See also <a href="diskIOR.html" class="code" title="function wta = diskIOR(oldWTA,winner,params)">diskIOR</a>, <a href="makeGaussianPyramid.html" class="code" title="function pyr = makeGaussianPyramid(map,type,varargin)">makeGaussianPyramid</a>, <a href="makeSaliencyMap.html" class="code" title="function [salmap, saliencyData] = makeSaliencyMap(img, salParams, varargin)">makeSaliencyMap</a>, <a href="applyIOR.html" class="code" title="function wta = applyIOR(oldWTA,winner,params,varargin)">applyIOR</a>, <a href="estimateShape.html" class="code" title="function shapeData = estimateShape(salmap,saliencyData,winner,params)">estimateShape</a>,          <a href="centerSurround.html" class="code" title="function [featureMaps,csLevels] = centerSurround(pyr,params)">centerSurround</a>, <a href="maxNormalize.html" class="code" title="function result = maxNormalize(maps,params,varargin)">maxNormalize</a>, <a href="winnerToImgCoords.html" class="code" title="function winImgCo = winnerToImgCoords(winner,params)">winnerToImgCoords</a>, <a href="makeGaborFilter.html" class="code" title="function filter = makeGaborFilter(gaborParams, angle, varargin)">makeGaborFilter</a>,          <a href="defaultGaborParams.html" class="code" title="function gaborParams = defaultGaborParams">defaultGaborParams</a>, <a href="defaultLevelParams.html" class="code" title="function levelParams = defaultLevelParams(pyramidType)">defaultLevelParams</a>, <a href="plotSalientLocation.html" class="code" title="function plotSalientLocation(winner,lastWinner,img,params,varargin)">plotSalientLocation</a>. levelParams - a structure with parameters for pyramid levels for               center-surround operations     minLevel: lowest pyramid level (starting at 1) for center-surround computations.     maxLevel: highest pyramid level for center-surround.     minDelta: minimum distance (levels) between center and surround.     maxDelta: maximum distance (levels) between center and surround.     mapLevel: pyramid level for all maps, including the saliency map. See also <a href="defaultLevelParams.html" class="code" title="function levelParams = defaultLevelParams(pyramidType)">defaultLevelParams</a>, <a href="centerSurround.html" class="code" title="function [featureMaps,csLevels] = centerSurround(pyr,params)">centerSurround</a>, <a href="winnerToImgCoords.html" class="code" title="function winImgCo = winnerToImgCoords(winner,params)">winnerToImgCoords</a>. gaborParams - a structure with parameters for Gabor orientation filters.       filterPeriod: the period of the filter in pixels.         elongation: the ratio of length versus width.         filterSize: the size of the filter in pixels.             stddev: the standard deviation of the <a href="gaussian.html" class="code" title="function kernel = gaussian(peak,sigma,maxhw,varargin)">Gaussian</a> envelope in pixels.             phases: the phase angles to be used. See also <a href="defaultGaborParams.html" class="code" title="function gaborParams = defaultGaborParams">defaultGaborParams</a>, <a href="makeGaborFilter.html" class="code" title="function filter = makeGaborFilter(gaborParams, angle, varargin)">makeGaborFilter</a>, <a href="gaborFilterMap.html" class="code" title="function resultMap = gaborFilterMap(map,gaborParams,angle)">gaborFilterMap</a>, <a href="makeOrientationPyramid.html" class="code" title="function oriPyr = makeOrientationPyramid(intPyr,gaborParams,angle)">makeOrientationPyramid</a>. hueParams - describes 2d <a href="gaussian.html" class="code" title="function kernel = gaussian(peak,sigma,maxhw,varargin)">Gaussian</a> color distribution in CIE space.        muR: mean value in the CR direction.       sigR: standard deviation in the CR direction.        muG: mean value in the CG direction.       sigG: standard deviation in the CG direction.        rho: correlation coefficient between CR and CG. See also <a href="hueDistance.html" class="code" title="function result = hueDistance(col_img,hueParams)">hueDistance</a>, <a href="makeHuePyramid.html" class="code" title="function huePyr = makeHuePyramid(image,type,hueParams,varargin)">makeHuePyramid</a>, <a href="skinHueParams.html" class="code" title="function params = skinHueParams">skinHueParams</a>. saliencyData - a vector of structures for each feature with additional                information from computing the saliency map.      origImage: Image structure of the input image.          label: the feature name.            pyr: a vector of pyramids for this feature.             FM: a vector of feature maps.       csLevels: the center and surround levels used to                 compute the feature maps from the pyramids.             CM: the conspicuity map for this feature.           date: time stamp. See also <a href="makeSaliencyMap.html" class="code" title="function [salmap, saliencyData] = makeSaliencyMap(img, salParams, varargin)">makeSaliencyMap</a>, <a href="estimateShape.html" class="code" title="function shapeData = estimateShape(salmap,saliencyData,winner,params)">estimateShape</a>, <a href="runSaliency.html" class="code" title="function runSaliency(inputImage,varargin)">runSaliency</a>. shapeData - information about the shape of the attended regions.       origImage: the Image structure for the source image.          winner: the winning location in saliency map coordinates.      winningMap: the map for the most salient feature at the winner location.         iorMask: the mask used for shape-based inhibition of return.       binaryMap: a binary map of the attended region.    segmentedMap: the winning map segmented by the binary map.        shapeMap: a smoothed version of segmentedMap.            date: time stamp. See also <a href="estimateShape.html" class="code" title="function shapeData = estimateShape(salmap,saliencyData,winner,params)">estimateShape</a>, <a href="shapeIOR.html" class="code" title="function wta = shapeIOR(wta,winner,params,shapeData)">shapeIOR</a>, <a href="applyIOR.html" class="code" title="function wta = applyIOR(oldWTA,winner,params,varargin)">applyIOR</a>, <a href="plotSalientLocation.html" class="code" title="function plotSalientLocation(winner,lastWinner,img,params,varargin)">plotSalientLocation</a>, <a href="runSaliency.html" class="code" title="function runSaliency(inputImage,varargin)">runSaliency</a>. WTA - a winner-take-all neural network.       sm: LIF neuron field for input from the saliency map.      exc: excitatory LIF neurons field.    inhib: inhibitory inter-neuron. See also <a href="initializeWTA.html" class="code" title="function wta = initializeWTA(salmap,salParams)">initializeWTA</a>, <a href="evolveWTA.html" class="code" title="function [wta,winner] = evolveWTA(wta)">evolveWTA</a>. LIF - leaky integrate and fire neuron (field).     timeStep: time step for integration (in sec).        Eleak: leak potential (in V).         Eexc: potential for excitatory channels (positive, in V).         Einh: potential for inhibitory channels (negative, in V).        Gleak: leak conductivity (in S).         Gexc: conductivity of excitatory channels (in S).         Ginh: conductivity of inhibitory channels (in S).    GinhDecay: time constant for decay of inhibitory conductivity (in S).       Ginput: input conductivity (in S).      Vthresh: threshold potential for firing (in V).            C: capacity (in F).         time: current time (in sec).            V: current membrane potential (in V) - can be an array for several neurons.            I: current input current (in A) - can be an array for several neurons.     DoesFire: neuron can (1) or cannot (0) fire. See also <a href="defaultLeakyIntFire.html" class="code" title="function LIF = defaultLeakyIntFire">defaultLeakyIntFire</a>, <a href="evolveLeakyIntFire.html" class="code" title="function [LIF,spikes] = evolveLeakyIntFire(LIF,t)">evolveLeakyIntFire</a>, <a href="initializeWTA.html" class="code" title="function wta = initializeWTA(salmap,salParams)">initializeWTA</a>.   LTUnetwork - a network of N linear threshold units.    connections: N x N weight matrix, a sparse matrix.     thresholds: 1 x N vector with thresholds for the units.      input_idx: the indices of all input units in the network.     output_idx: the indices of all output units in the network.       numCells: the number of units.          label: a text label fo the network.

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