2 Model-based Object Recognition Object recognition is one of the most important, yet the least understood, aspect of visual perception. The difficulties originate from the variations of objects such as view position, illumination changes, background clutter, occlusion and etc. In this paper, we present an object recognition paradigm robust to these variations using modified local Zernike momen...

In this paper we present a novel procedure for contour-based recognition of partially occluded three-dimensional objects. In our approach we use images of real and rendered objects whose contours have been deformed by a restricted change of the viewpoint. The preparatory part consists of contour extraction, preprocessing, local structure analysis and feature extraction. Themain part deals with ...

The classification of a desired 3D object using Hu-moment invariants is based on identifying from six reference libraries an object having the minimum distance to desired object. To decrease classification error, this paper describes a modified approach to identify a 3D object based on a hybrid of Hu and Zernike moment invariants as a feature vector. Zernike moment invariants are used to find t...

This paper presents the experimental evaluation of Gabor filter and Zernike moments for extracting the face features. The dimensionality of the input image is reduced for the overloading process of Gabor filters. 40 sub-images were obtained from the original images by using the Gabor filters in 5 scales and 8 orientations. From each sub-image, four Zernike features were extracted. Thus, the tot...

In this paper, a new edge detection method is introduced for the aim of high quality and efficiency. Robert operator, as we know, is a classic edge detection algorithm, while maintaining many merits. On the other hand, Zernike moments render us satisfying information redundancy ability and appealing precision as well. By the combined usage of them, we can achieve desired precision and high effi...

There are situations where it is not possible to capture a large document with a given imaging media such as scanner or copying machine in a single stretch because of their inherent limitations. This results in capturing a large document in terms of split components of a document image. Hence, it is necessary is to mosaic the split components into the original and complete document image. In th...

Leaves images segmentation is an important task in the automated plant identification. Images leaf segmentation is the process of extracting the leaf from its background, which is a challenging task. In this paper, we propose an efficient and effective new approach for leaf image segmentation, we aim to separate the leaves from the background and from their shadow generated when the photo was t...

In this paper, we present two comparisons in isolated printed Tifinagh characters recognition, in fact the first comparison is between four hybrid methods exploited in features extraction which are the retinal coding combined with the Hu then with Legendre then with Zernike invariant moments, finally with these tree moments at the same time; in contrast the second comparison is performed in ord...