Modifications in Normalized Cross Correlation Expression for Template Matching Applications
نویسندگان
چکیده
This paper analyzes the performance of sum of squared differences (SSD), sum of absolute differences (SAD), normalized cross correlation (NCC), zero mean normalized cross correlation (ZNCC) and several other proposed modified expressions of NCC. Experimental results on real images demonstrate that some of the proposed modified expressions of NCC are more efficient than conventional NCC for template matching. Three of the modified expressions of NCC perform similar to ZNCC however they are computationally less intensive. Modified expressions of NCC were also studied under different values of additive white Gaussian noise. Some of them perform better than ZNCC in terms of successfully found points and computation time for noisy images.
منابع مشابه
Evaluation of Similarity Measures for Template Matching
Image matching is a critical process in various photogrammetry, computer vision and remote sensing applications such as image registration, 3D model reconstruction, change detection, image fusion, pattern recognition, autonomous navigation, and digital elevation model (DEM) generation and orientation. The primary goal of the image matching process is to establish the correspondence between two ...
متن کاملFast Template Matching
Although it is well known that cross correlation can be efficiently implemented in the transform domain, the normalized form of cross correlation preferred for template matching applications does not have a simple frequency domain expression. Normalized cross correlation is usually computed in the spatial domain for this reason. This short paper shows that unnormalized cross correlation can be ...
متن کاملTemplate Matching using Fast Normalized Cross Correlation
In this paper we present an algorithm for fast calculation of the normalized cross correlation NCC and its applica tion to the problem of template matching Given a template t whose position is to be determined in an image f the basic idea of the algorithm is to represent the template for which the normalized cross correlation is calculated as a sum of rectangular basis functions Then the correl...
متن کاملAircraft Recognition in High Resolution Satellite Images
--------------------------------------------------------ABSTRACT-------------------------------------------------The project presents recognize of an aircraft in satellite image using template matching for accurate detection and tracking. High resolution multispectral satellite images with multi-angular look capability have tremendous potential applications. Here the system involves an object t...
متن کاملEfficient Eyes Detection Using Fast Normalised Cross-correlation
Eye detection is important for finding locations of the face landmarks such as nose, ear and mouth on the face. Template matching and normalized cross correlation techniques are used for eye detection. The template matching is better than appearance and feature based method for eye detection in terms of accuracy. The experiment is performed on chufs database of face image for detection of eyes....
متن کامل