An aggregated template methodology: Novel automatic phase‐onset identification by template matching

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 ...

Automatic target detection using binary template matching

HyunWook Park, MEMBER SPIE Korea Advanced Institute of Science and Technology Department of Electrical Engineering 373-1 Guseong-dong Yuseong-gu Daejeon 305-701, Korea E-mail: [email protected] Abstract. This paper presents a new automatic target detection (ATD) algorithm to detect targets such as battle tanks and armored personal carriers in ground-to-ground scenarios. Whereas most ATD...

A novel approach for template matching by nonorthogonal image expansion

Fast 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 ...

Compression-Based Template Matching

Textual image compression is a method of both lossy and lossless image compression that is particularly effective for images containing repeated sub-images, notably pages of text (Mohiuddin et al., 1984; Witten et al., 1992). The process comprises three main steps: Extracting all the characters from an image; Building a library that contains one representative for each character class; Compress...