Title :
Stacked Euler Vector (SERVE): A Gray-Tone Image Feature Based on Bit-Plane Augmentation
Author :
Bishnu, A. ; Bhattacharya, B.B.
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur
Abstract :
A new combinatorial feature called stacked Euler vector (SERVE) is introduced to characterize a gray-tone image. SERVE comprises a four-tuple, where each element is an integer representing the Euler number of the partial binary image formed by certain pixel overlap relations among the four most significant bit planes of the gray-tone image. Computation of SERVE is simple, fast, and does not involve any floating point operation. SERVE can be used to augment other features to improve the performance of image retrieval significantly. Experimental results on the COIL database are reported to demonstrate its performance
Keywords :
combinatorial mathematics; image classification; image representation; Euler number representation; bit-plane augmentation; combinatorial feature; gray-tone image characterization; gray-tone image feature; stacked Euler vector; Content based retrieval; Disaster management; Image classification; Image databases; Image retrieval; Information retrieval; Internet; Pixel; Spatial databases; Strontium; CBIR.; Euler number; bit-plane graph; combinatorial feature; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Photometry; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.43
