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The existing relative radiometric normalization methods are insufficient to define the invariant pixels automatically, and the conventional methods do not perform well when the multitemporal images contain a lot of changes. Two types of changes should be particularly considered: one is caused by significant spectral differences due to change of ground objects, and the other is the pixels in the regions...
A variety of camera calibration methods are available from the so-far known literature. But most of them aim at camera with conventional lens, the so-called pinhole camera model. Few attentions have been paid to camera with small field-of-view (FOV) and depth-of-field (DOF) telecentric lens. Therefore an effective calibration method is highly necessary. In this paper a new method is proposed to accurately...
In this paper,a support vector regression neural network (SVR-NN) approach is presented to assessment the visual quality of JPEG-coded images without reference image.The key features of human visual system (HVS) such as edge amplitude and length, background activity and luminance are extracted from sample images as input vectors. SVR-NN was used to search and approximate the functional relationship...
According to the drawback of the traditional circle target extraction algorithm used by Hough Transform, such as computation complexity, low efficiency and etc, an new circle target extraction algorithm is proposed in this paper which can extract multiple circle targets with different radius at one time. First, the Average Absolute Difference is implemented to enhance the edge of the circle targets...
A new 3D reconstruction method based on image dense stereo matching is proposed in this paper. Firstly, the feature-points of stereo images must be extracted by SIFT algorithm and they are matched through similarity constraints. The second step is to select seed points which determine the performance of the algorithm and then we can do dense matching with these seed points. Afterward, the false matches...
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