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Detecting pedestrians in images is a challenging task, especially for the intelligent vehicle environment where there is a real-time requirement which limits the computational complexity of algorithms. In this paper, we demonstrate a near real-time and robust pedestrian detection system in the context of intelligent vehicle. This is achieved by integrating Locally Assembled Binary (LAB) features with...
Xilinx and Mathworks jointly proposed System Generator (SysGen) and Simulink to accelerate development of DSP (digital signal processing) style applications on Field Programmable Gate Array (FPGA) chips. However, most of developments with Simulink and SysGen end at simulation stage without complete stand-alone implementation on FPGA since these tools do not come up with sufficient IO system libraries...
Image segmentation based on random walk model in graph theory can be transformed into large-scale sparse linear equations to solve problem. The final solution of the equation and the iteration convergence rate is depending on the selection of the initial value. It is a significant disadvantage for segmenting the large scale image while selecting initial value randomly. In this paper, we proposed a...
In this paper, we propose a feature-based registration algorithm for the confocal fluorescence images captured by an endomicroscopy system. We first extract a number of feature points from the endomicroscopy images by applying the binarization-thinning process and using the Rutovitz crossing number. These feature points are then post-processed to eliminate the spurious ones. After that we use the...
Seamless image processing concerns stitching parts of images in a visually natural manner. In this paper, we present a seamless processing method which unifies Featuring, Optimal seam method and some recent gradient domain methods including Poisson image editing, Drag-and-drop pasting and GIST. To evaluate the processing quality visually, a variational energy function is proposed to compute both the...
A critical step in fingerprint recognition is to skeletonize the fingerprint image for minutiae extraction, which is recognized as "thinning" in image processing. The speed and reliability of the thinning process are important for the whole fingerprint identification system. In this paper, to accelerate the thinning process, a fast hardware thinning algorithm is implemented on the Xilinx...
The coupling relationship between urban vegetation and land surface temperature (LST) has been of great interest to a variety of environmental studies. This paper retrieves the urban vegetation and LST utilizing Terra ASTER imagery in the year 2007, and analyzes their coupling relationships accordingly, so as to provide the basis for decision making of ecological planning and environment protection...
A high spatial resolution remote sensing image provides a huge amount of data about our earth surface in more details, and makes it possible to estimate forest and tree parameters directly from aerial image. In this research the segmentation algorithm of region-merging technique was used for the identification of the individual tree crown. Fuzzy logic membership function and nearest neighbor classifier...
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