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Imaging in the visible spectrum demonstrates difficulties in recognizing the faces in conditions of varying illumination, especially under total darkness conditions. Further, the pose variations in such images add extra burden and heavy challenge on successful performance. As such, thermal face recognition has laid itself as a successful alternative solution and eventually has become an area of growing...
Blood vessel extraction from retinal fundus images is an important task in developing the computer-aided diagnostic system for ophthalmologists. In this paper we have presented an algorithm for extraction of blood vessels of retinal fundus images and comparison of different moment invariants used for the extraction of features for the vessel pixels. The algorithm uses neural networks for distinguishing...
Registration of aerial images is a necessary step as valuable information for studying; monitoring, forecasting and managing natural resources can be obtained from it. This paper presents an algorithm for registration of aerial images using orthogonal moment invariants. Initially reference aerial image and test aerial image are resized to same size and converted to gray scale and contrast enhancement...
This paper presents a new supervised method for blood vessel detection in digital retinal images. This method uses a neural network (NN) scheme for pixel classification and computes a 7-D vector composed of gray-level and moment invariants-based features for pixel representation. The method was evaluated on the publicly available DRIVE and STARE databases, widely used for this purpose, since they...
This paper presents the implementation of moment invariants with respect to centroid point (obtained from registered image database) for thermal physiological-based face identification system. Seeded region growing method was applied for background filtering. Sequentially, anisotropic diffusion was employed prior to image decomposition to reduce the effect of noise. The system decomposes a background...
Region-based descriptors often use moments to describe shapes. The discreet radial Tchebichef moment descriptors have been proposed. The radial Tchebichef moments are invariant with respect to image rotation. In order to achieve the scale invariance, researchers resort to resizing the original shape to predetermined size. This traditional scheme of scaling is time expensive and leads to the loss of...
The moment descriptor is combined with Gaussian curvature for three-dimensional shape representation and a novel three-dimensional shape descriptor combined local with global representations is proposed in this paper. Normalization process to the new moment invariants is presented and their independence to the translation, rotation and scaling transforms is proved. Experiments indicate a better classification...
This paper presents the implementation of moment invariants; with respect to centroid point obtained from frontal mugshot images, for thermal-based face identification system. Initially, seeded region growing method is applied for background filtering. Sequentially, the system decomposes a background filtered thermal image into 4 thermal regions via 3-valued threshold method. Region with the lowest...
In this paper, we propose two video fingerprinting methods that are robust to both geometric and non-geometric modifications on content. Both of the proposed methods are based on computation of moment invariants as features from concentric circular regions. The two methods differ in the way they capture appearance and motion information from video. In one method, we capture motion information by computing...
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