This paper presents a reliable coin recognition system that is based on Polar Harmonic Transform. Coins are widely used by humans at various places like in research organizations, banks, grocery stores, automated weighing machines, vending machines and currency detector. In these machines, there is important process is to recognize the coins accurately and fastly with the help of coin recogniti...

In this paper, the polar Hough transform (PHT) is considered as a track initiator in a track before detect (TBD) system. The study is performed in the presence of impulse interference. The algorithm under study includes a parametric CFAR detector, which works successfully in conditions of impulse interference and uses the polar Hough transform. The proposed Hough detector improves the detection...

A low-complexity systematic encoding algorithm for polar codes with Reed-Solomon kernel is presented. The proposed method relies on fast Fourier transform based ReedSolomon encoding techniques. Application of polar codes in storage systems is considered.

We show that the polar as well as the pseudo-polar FFT can be computed very accurately and efficiently by the well known nonequispaced FFT. Furthermore, we discuss the reconstruction of a 2d signal from its Fourier transform samples on a (pseudo-)polar grid by means of the inverse nonequispaced FFT.

In conventional transform coding, the importance of preserving desirable quantization partition cell shapes prevents one from considering the use of a nonlinear change of variables. If no linear transformation of a given source would yield independent components, this means having to encode it at a rate higher than its entropy, i.e. suboptimally. This thesis proposes a new transform coding tech...

Classification of texture images, especially those with different orientation and scale changes, is a challenging and important problem in image analysis and classification. This paper proposes an effective scheme for rotation and scale invariant texture classification using log-polar wavelet signatures. The rotation and scale invariant feature extraction for a given image involves applying a l...

The recognition of human faces, especially those with different orientations is a challenging and important problem in image analysis and classification. This paper proposes an effective scheme for rotation invariant face recognition using Log-Polar Transform and Discrete Cosine Transform combined features. The rotation invariant feature extraction for a given face image involves applying the l...

Foveated, log-polar, or space-variant image architectures provide a high resolution and wide eld workspace, while providing a small pixel computation load. These characteristics are ideal for mobile robotic and active vision applications. A common problem in these application areas is image blur and motion artifact. Recently, there has been described a generalization of the Fourier Transform (t...

SAR phase history data represents a polar array in the Fourier space of a scene being imaged. Polar Format processing is about reformatting the collected SAR data to a Cartesian data location array for efficient processing and image formation. In a real-time system, this reformatting or “re-gridding” operation is the most processing intensive, consuming the majority of the processing time; it a...