Active shape models—their training and application
Computer Vision and Image Understanding
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Feature Extraction & Image Processing, Second Edition
Feature Extraction & Image Processing, Second Edition
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
RST-invariant digital image watermarking based on log-polar mapping and phase correlation
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper is presented a method for invariant 2D object representation based on the Mellin-Fourier Transform (MFT), modified for the application. The so obtained image representation is invariant against 2D rotation, scaling, and translation change (RST). The representation is additionally made invariant to significant contrast and illumination changes. The method is aimed at content-based object retrieval in large databases. The experimental results obtained using the software implementation of the method proved the method efficiency. The method is suitable for various applications, such as detection of children sexual abuse in multimedia files, search of handwritten and printed documents, etc.