Automatic recognition of wale and course per unit length of woolen sweaters

There is not a mature algorithm for density recognition of woolen sweater texture at present.Therefore,this paper sets forth an automatic recognition method based on extremum cluster.Firstly,actual size of any recognition area is calculated,and image is subjected to enhancement processing by linear method.Then a fusion algorithm of extremum is proposed.With this algorithm,gray peak cluster and valley cluster generated by loop column and void part in images are extracted,the identical extremum clusters in the same position are fused,and fusion graph of gray extremum cluster for image change rule is drawn.Finally,a calculation formula of wale and course per unit length of woolen sweater texture is given.The algorithm in this paper is verified by MatLab 7.0,and the results indicate that its recognition accuracy is more than 98% for jersey and rib texture.