上传者: 38607479
|
上传时间: 2021-04-05 12:06:04
|
文件大小: 1024KB
|
文件类型: PDF
本文针对纹理分类提出了一种有效的本地运算符,即LocalQuantizationCode(LQC)。 Theconventionallocalbinarypatterncanberegardedasaspeciallocalquanti-.zation methodwithtwolevels,0and1.SomevariantsoftheLBPdemonstratethatincreasingthelocal.quantizationlevelcanenhancethelocaldiscriminativecapability.Hence,wepresentasimpleand.unified frameworktovalidatetheperformanceofdifferentlocalquantizationlevels.IntheproposedLQC,.pixelslocatedindifferentquantizationlevelsareseparatelycountedandtheaveragelocalgrayvalue.difference isadoptedtosetaseriesofquantizationthresholds.Extensiveexperimentsarecarriedouton.severalchallengingtexturedatabases.TheexperimentalresultsdemonstratetheLQCwithappropriate.local quantizationlevelcaneffectivelycharacterizethelocalgray-leveldistribution。