DocumentCode :
2280389
Title :
A way to enhance the extraction mechanism of 2D objects from robots memory using an orthogonal algorithm
Author :
Sirajudeen, M. Mohamed ; Peeran, M. Mudassir ; Senthil Kumar, M.
Author_Institution :
Dept. of Comput. Applic., K.L.N Coll. of Inf. Technol., Pottalpalayam, India
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
490
Lastpage :
493
Abstract :
Object identification is closely related to the mechanism of extracting the exact object from the robots memory location. Generally, a large number of algorithms and techniques are available to perform the object storage classification and the extraction. Each and everyone work its own style to perform the desired operation they were initiated by the external process. In this algorithm, we focus on how to enhance the extraction mechanism for two Dimensional objects or images which are already occupied in the storage. Robots are bind together with human´s life and also take part an inevitable role in all major fields. The way to extraction of the stored 2D objects in the robots memory makes very easy to the object identification process. Orthogonal algorithm having the feature of dividing the storage space into different blocks specifies an address range for the it and store the segment of incoming objects. Methods for the partition of storage location and the storage procedure help to reduce the complexity of the searching mechanism and to find the exact object.
Keywords :
memory architecture; object recognition; robot vision; 2D objects; object identification process; object storage classification; orthogonal algorithm; robots memory location; Classification algorithms; Complexity theory; Image segmentation; Memory architecture; Object recognition; Robots; Visualization; 2D objects; extraction; robots and memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing (ICSIP), 2010 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-8595-6
Type :
conf
DOI :
10.1109/ICSIP.2010.5697524
Filename :
5697524
Link To Document :
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