{"id":94,"date":"2016-04-01T00:14:23","date_gmt":"2016-04-01T00:14:23","guid":{"rendered":"https:\/\/live-optics-wp.pantheonsite.io\/cgri\/?page_id=94"},"modified":"2016-05-25T16:52:12","modified_gmt":"2016-05-25T16:52:12","slug":"image-quality-toolbox","status":"publish","type":"page","link":"https:\/\/wp.optics.arizona.edu\/cgri\/objectives\/image-quality-toolbox\/","title":{"rendered":"Image Quality Toolbox"},"content":{"rendered":"

Download Toolbox<\/strong><\/a><\/p>\n

File size : 8K
\nTo uncompress type:
\ngunzip ImageQuality.tar.gz
\ntar xf ImageQuality.tar<\/p>\n

Information<\/h3>\n

Version 0.9b Mar-25-2001\u00a9 The University of Arizona
\nThe following is a list of routines available from this toolbox. Detailed information about each routine is available by typing ‘help “fncname”‘ in Matlab.<\/p>\n

Background Generation<\/h3>\n

LumpyBgnd – Generate a lumpy background — type 1
\nMVNLumpy – Generate a lumpy background — type 2
\nMVNLumpyConv- Same as above but without the wrap around artifacts
\nCLB – Generate a clustered-lumpy background as described by Bochud, et. al. NOTE: CLB and LumpyBgnd require that poissrnd from the Stats toolbox is available.<\/p>\n

Signal Generation<\/h3>\n

CircSignal – Generate a circular disc signal
\nGaussianSignal – Generate a gaussian blob signal<\/p>\n

Observers<\/h3>\n

Laguerre2D – Generate Laguerre-Gauss functions for approximating the ideal observer
\nApplyTemplates – Apply templates to images
\nCHotelling – Compute the channelized Hotelling observer outputs
\nTwo-alternative-forced choice
\nTest2AFC – Perform a 2AFC experiment<\/p>\n

ROC<\/h3>\n

WilcoxonAUC – Compute the Wilcoxon area under the ROC curve. This also returns ROC operating points for graphing dprime – Compute the d’ SNR statistic
\nAzFromDP – Compute the Az from the d’ statisticMiscellaneous
\nRunExperiment – demonstration of some of these routines — try this<\/p>\n

This toolbox is a work in progress. Please report any bugs or suggestions to Matthew Kupinski<\/p>\n","protected":false},"excerpt":{"rendered":"

Download Toolbox File size : 8K To uncompress type: gunzip ImageQuality.tar.gz tar xf ImageQuality.tar Information Version 0.9b Mar-25-2001\u00a9 The University of Arizona The following is a list of routines available from this toolbox. Detailed information about each routine is available by typing ‘help “fncname”‘ in Matlab. Background Generation LumpyBgnd – Generate a lumpy background — type 1 MVNLumpy – Generate<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":74,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-94","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/94","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/comments?post=94"}],"version-history":[{"count":5,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/94\/revisions"}],"predecessor-version":[{"id":427,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/94\/revisions\/427"}],"up":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/pages\/74"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/cgri\/wp-json\/wp\/v2\/media?parent=94"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}