International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Classification of Cracks Old Digital Paintings using Fuzzy Entropy Based Clustering

Author : Shruti Garg ¹

Date of Publication :7th June 2016

Abstract: Paintings are the representation of an artist thought. Famous paintings, like that of Mona Lisa, have a great value attached to them. Unfortunately, paintings cannot be preserved in their original state as they are adversely affected by atmospheric conditions. Cracks in old paintings are one such phenomenon observed very commonly. To identify cracks properly, they need classification from dark black brush strokes before filling. Then cracks are classified by unsupervised classification methods. And experimental results show that fuzzy entropy based clustering is suitable for classification of cracks.

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