International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 14 - Number 8 |
Year of Publication: 2011 |
Authors: Kanwalvir Singh Dhindsa, Geetanjali Babbar |
10.5120/1903-2537 |
Kanwalvir Singh Dhindsa, Geetanjali Babbar . Development of an Improved Feature Based Algorithm for Image Matching. International Journal of Computer Applications. 14, 8 ( February 2011), 23-26. DOI=10.5120/1903-2537
Image matching plays an important role in many fields such as pattern searching & recognizing[6], image analysis, robotics & computer vision. It is a method to find a certain image in the image database which matches or can be said similar to the given template picture. The template image can be thought of as a subset of the matching image. This paper aims at the improved matching algorithm which is based on the image feature point[5]. By searching correct feature point and setting bidirectional threshold value, the matching process can be quickly & precisely implemented with optimistic results. Visual C++ to be used for design and implementation. In future, the feature based algorithm can be modified to choose feature selection threshold adaptively depending on the image’s content.