Volume 4 Issue 5



Abstract : Nowadays,various approaches of texture classification have been developed which works on acquired image features and separate them into different classes by using a specific classifier . This paper gives a state - of - the - art texture classification technique called Speeded up Robust Features (SURF) with SVM (Support Vector Machine) classifier. In this concept,image data representation is accomplished by capturing feature s in the form of key - points. SURF uses determinant of Hessian matrix to achieve point of interests on which description and classification is carried out. This method gives superior performance over already established methods in terms of processing time,accuracy and robustness . In this paper,we have taken UMD dataset for processing and calculated different performance parameters which gives excellent results.

Pages : 43-47

Downloads : 1412

Publication Date :

Modified Date : 2017-05-20

Cite/Export :

MISS. NAMRATA N. RADE , PROF. J. K. PATIL , "IMAGE TEXTURE CLASSIFICATION: SURF WITH SVM", IJIERT - International Journal of Innovations in Engineering Research and Technology, Volume 4 Issue 5, ISSN : 2394-3696, Page No. 43-47