000			01529nam a22001577a 4500
999			_c64774 _d64771
082			_aR/IMS-19
100			_aNajim uddin _a14MSIT15 _aSupervisor - Dr. Fareed Ahmed Jokhio
245			_aA Hybrid Approach for Efficient Content Based Image Retrrival System
250			_a14-MS(IT)-15
260			_aNawab shah _bQUEST _c2019
300			_a31p
500			_aABSTRACT In this thesis performance of image matching techniques is analyzed. Here two existing techniques i.e. scale-invariant feature transform (SIFT) and Speeded up robust features (SURF) are used to develop a HAECBIR technique. Performance of these three technique is analyzed by using Oxford building dataset. The data set consist a set of different image classes. These techniques are used to extract visual features of images. Frequency vector is recorded a Histogram for spatial tile of the image. The resulting vector are used for feature matching with other images the performance with respect to accuracy and time is evaluated for these three techniques. The result Indicate that matching accuracy of the Hybrid technique is better than SIFT and SURF. The hybrid approach is also faster than SIFT in terms of execution time to retrieve similar images from dataset. Keywords: Feature Extraction, A hybrid Approach Efficient Content based Image retrieval system (HAECBR), Speeded up robust features (SURF), Scale Invariant feature transform (SIFT)
700			_aDepartment 0f Information technology
856			_uhttp://tinyurl.com/mrtj65ef
942			_cTHESIS