Classification of Pain Tin Cracks Forcon Ten T-Based an

In this paper we prVMfl t steps taken to implement a content-based analysis of crM kpatterv in paintings. Crn ks ar firV detected using amorM"vU"""33 top-hat oper"flR and gr"4MXRvU automaticthrticvM"VMX Fr om a 1-pixel wider eprVV4 tation ofcrV k patter3v wegenerBv a statisticalstristic of global and localfeaturfl fra a chain-cod basedr eprdvV tation. A wellstrMVMvU" model of the cr" kpatterv allows post-pr cessing to be perRV43v such as prVBflB and high-levelfeatur extrelvX4 High-levelfeature ar extr34vU fr" the str"R""vU model utilising infor3vU"fl mainly based on or"fl tation and length of line segments.Our strBB"B for classifying the crV kpatterv makes use of an unsuperupvX apprvX h whichincor oror fuzzycluster"v of the pattervU WeprXRfl tr esults using the fuzzy k-means technique