Abstract: Embedded system design is a challenge especially when devices have limited memory. For these systems, comparing two images is really computationally expensive. Storing the whole image’s information and then compare these two images is a big deal. Although logarithmic algorithm gives us a better and computationally inexpensive technique for matching a small picture in a large scene, we need to match the whole image and for embedded system which uses microcontroller for all computational works it is almost impossible. Because microcontroller has limited number of registers and its size of EEPROM and programmable memory is very small. Our proposal is to match and differentiate two images based on some specific features in a specific position of the object. Clustering algorithm clusters particles, objects in a specific group. To differentiate two objects of a specific group we again need to match two objects wholly. Without matching two objects wholly, we can find out some ...
