Simplified firefly algorithm for 2D image key-points search
This work addresses image identification for computer vision applications, but it appears incremental as it adapts an existing evolutionary method to a specific domain.
The paper tackled the problem of identifying objects in 2D images by searching for key-points, proposing a simplified firefly algorithm for this task and examining it on test images to demonstrate its efficiency.
In order to identify an object, human eyes firstly search the field of view for points or areas which have particular properties. These properties are used to recognise an image or an object. Then this process could be taken as a model to develop computer algorithms for images identification. This paper proposes the idea of applying the simplified firefly algorithm to search for key-areas in 2D images. For a set of input test images the proposed version of firefly algorithm has been examined. Research results are presented and discussed to show the efficiency of this evolutionary computation method.