Guided by the results of much research work done in the past on the performance of 2D image moments and moment invariants in the presence of noise, suggesting that by using orthogonal 2D Zernike rather than regular geometrical moments one gets many advantages regarding noise eeects, information suppression at low radii and redundancy , we have worked out and introduce a complete set of 3D polyn...

In many applications, different kinds of moments have been utilized to classify images and object shapes. Moments are important features used in recognition of different types of images. In this paper, three kinds of moments: Geometrical, Zernike and Legendre Moments have been evaluated for classifying 3D object images using Nearest Neighbor classifier. Experiments are conducted using ETH-80 da...

Moment functions de0ned using a polar coordinate representation of the image space, such as radial moments and Zernike moments, are used in several recognition tasks requiring rotation invariance. However, this coordinate representation does not easily yield translation invariant functions, which are also widely sought after in pattern recognition applications. This paper presents a mathematica...

In order to improve the recognition rate, this document proposes an automatic system to recognize isolated printed Tifinagh characters by using a fusion of 3 classifiers and a combination of some features extraction methods. The Legendre moments, Zernike moments and Hu moments are used as descriptors in the features extraction phase due to their invariance to translation, rotation and scaling c...

Enhancing target recognition from Synthetic Aperture Radar (SAR) images is a challenging task that cannot be generally solved through a unique and specific sensor configuration or signal processing solution. In particular, solutions exploiting physical target modelling not always are able to deal with complex targets or with small differences between classes. This issue can be solved if image p...

Target discrimination is the key step of automatic target detection (ATR) in synthetic aperture radar (SAR) images. In this paper, a new algorithm for target discrimination in high resolution SAR image is presented by utilizing Zernike moments as descriptors of shape and intensity characteristics which have linear transformation invariance properties. The input regions of interest (ROIs) are se...

The medical imaging is the fastest growing subject in the field of clinical medicine. It runs through the whole process of clinical medicine. This paper chooses the edge feature of brain CT image. The classical operator of pixel level edge feature extractions were compared with the Zernike moments sub-pixel level edge feature extraction. And then the edge detection of improved Zernike moments f...