A computational model of texture segmentation
نویسندگان
چکیده
IVe present a. coiiiputatioiial niodel of liuiiian testure segiiieiit+ tioii ancl asgne for its utility in niachine vision. Major tlieories due to dnlesz and Beck attribute preattent,ive texture segmentation to differences in first-order statistics of stininlus features such as oriciitat.ion, size and briglitliess of constituent eleiiients. An dternat,ive ayproa.ch seeks to esploi t psycliopliysicallv observed spakial frequency cliaiiiiels and ~iei~ro~ihysiologirally observed blob. bara n d edge-sensi t.ive iiiecha.iiisiiis, and perform simple coiiiputatioiis 011 the oiitputs of these to find testure I)ouiiclaries. Previous niodels in tliis fra.iiiework have been inconipletely specified; our iiiodel is precisely stated w d applicable to a.rbitra,ry grey scale t.extnres. IVe claiiii that the responses of two types of iiierlianisins are necessary and sufficient: (a.) center-surround nierlia.nisnis of va.rious wiclt.lis. aiitl ( I ) ) oriented nierlmnisins of various widths a.iirl orielitations wliicli are even-syniiuetric about their axes. Siiiiiila.tioii h t n on a nruiilier of t.exture padrs is presented.
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