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PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
Traffic sign, especially speed limit sign recognition is important in a driver assistance system. In this paper, a robust approach for real-time detection and recognition of speed limit sign is presented. It consists of two major steps: sign detection and sign recognition. In detection stage, Fast Radial Symmetry Transform is utilized to detect possible sign locations. Then the new method proposed,...
This paper proposes a robust rear-view camera based moving object detection algorithm for backup aid and parking assist applications. A single fish-eye camera is used in order to get much larger FOV (field of view) for object detection. To detect various moving objects such as vehicles and pedestrians, the ego-motion of host vehicle is firstly estimated by A robust NGPP (near ground point projection)...
Vision-based automatically landing is important for micro Unmanned Aerial Vehicles (UAVs). Horizon is a very useful clue. Most of the existing solutions for the problem can get accurate results in clear weather. However, for some images shoot in extreme environmental conditions like foggy or cloudy sky these methods are difficult in identifying the horizon correctly. In this paper, we propose a robust,...
This paper describes a novel method based on self-adaptive subdivision mesh for geometry correction of multi-cameras in a panoramic video system. The system hardware consists of an array of six board cameras pointing outwardly. Digitally combining synchronized frames from each camera, a wide-field panoramic video can be created. Using sparse initial corresponding points between the ideal target surface...
In this paper, we propose an example-based facial sketch hallucination approach. Given a face image, its sketch image will be automatically hallucinated by learning from a training set, which includes a lot of face images and their corresponding sketch images. Our algorithm involves three stages. In the first stage which is called ??feature extracting??, we create the feature pyramid for each face...
In this paper, we propose a new algorithm with an adaptive arbitrary support-pixel set, with an arbitrary shape and size, and adaptive support-weight according to perceptual grouping principle in the Markov random field framework. Adaptive arbitrary support-pixel set is a set of pixels which are selected based on the similarity law of the perceptual grouping principle from neighboring pixels of the...
This paper presents a new semi-fragile watermarking algorithm for audio authentication, which takes full advantage of scrambing algorithm. Watermark scrambling algorithm can dispel the pixel space relationship of the binary watermark image. After scrambing, the white pixels and black ones of original watermark image are comparatively orderliness, which is robustness against signal processing and fragility...
In this paper, we experimental investigate if the current reversible data hiding schemes are detectable. By modeling the distributions of horizontal pixel difference of natural image using generalized Gaussian model, we find that the horizontal difference histogram of watermarked image is significantly altered. Furthermore, the difference between the horizontal and the vertical difference histogram...
This paper presents a road signs detection, recognition and tracking system based on multi-cues hybrid. In detection stage, the color and gradient cues are used to segment the interesting regions, and the corner and geometrical cues are used to detect the signs. A pseudo RGB-HSI conversion method without the need of nonlinear transformation is presented for color extraction. In recognition stage,...
Regularization plays a vital role in ill-posed problems. A properly chosen regularization can direct the solution toward a better quality outcome. An emerging powerful regularization is one that leans on image examples. In this paper, we propose a novel scheme for face hallucination. We target specially the quality of highly zoomed outputs. Our work bases on the pyramid framework and assigns several...
In this paper, two new energy functions are presented to handle the slanted plane. First, the gradient information is used to get the initial disparity in a local energy function. Second, a global energy function is incorporating segment geometric constraints. To overcome the fronto-parallel model errors, the segment adjacent segments cooperative optimization is used to infer the unreliable pixel...
In this paper, a novel stereo matching algorithm for larger disparity range is proposed that a new local energy function and a new global energy function are presented, which use the gradient information and adjacent segment geometric constraint respectively. First get the reliable pixel disparity, then, infer the disparity of un-reliable pixel from the reliable pixel disparity using the neighbor...
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