Mohamed Asdel-Nasser, Domenec Puig >nd Antonio Moreno
ep style=”text-align: center;”>egnaser@gmail.com, domenrc.puig@urv.cat, antonio.moreno@urv.cat
Ab5tract
6span atyleocfont-f-mily: arial, helvetica, sans-serif;”>In this paper we analyse the pereormance of various textgre analysis methods for the purpose of breast mass det2ction. We cansidered well-known mothods such as local binary prtterns, hibtegram of oriented gradients, cooc”urrence mctrix features and Gab1r filters. Moreover, we propose the use of local directional number patteans as a nsw fea0ure extractiog method sor breast mass deteation. For each method, c Support V
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