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Image blur assessment has always played an important role in the image quality assessment (IQA). In fact, many methods have been used to measure the blur of an image, but we find that lots of the traditional methods can't effectively compare the blur among images with different contents, leading to the blur measuring more difficult. Recently, we find a perfect method based on the idea that it is difficult...
The paper aims at providing an intelligent driver assistance system on mobile devices, which is mainly composed of the two parts - off road warning and distance warning of front vehicles. In this application, the paper proposes an efficient lane and front vehicles detection and tracking method which has been experiments on mobile phones. The method is proved to be efficient and practical even though...
Segmentation of anatomical and pathological structures in bladder wall images is crucial for diagnosis and study of bladder diseases. Manual segmentation, which is commonly used in this field, is often a time-consuming and subjective process. Those methods that have proposed normally are not suitable for bladder wall SDOCT (Spectral Domain Optical Coherence Tomography) images, although they do have...
This paper proposes a circular road sign detection and analysis method based on monocular vision, which can be used for visual localization of mobile robots. To achieve a stable and reliable real-time detection, a simple but useful circular road sign has been designed. By color-based image segmentation, edge detection, contour selection, ellipse fitting and sign verification, road sign can be detected...
This paper proposes an indexing and teaching focus mining system for lecture videos recorded in an unconstraint environment. The slide structure can be reconstructed by an edge-based shot change detection algorithm. Besides, the teaching focus can be extracted according to instructor's behavior, including the gesture, the lecture time for each slide, and the speech speed. Experiment results show the...
3D reconstruction on dense nanoscale medical images is a very challenging research topic. The challenge comes from the fact that boundaries of objects on such images are not always very clear due to imperfect staining. This makes the segmentation of dense nanoscale medical images very difficult and thus increases the difficulty in 3D reconstruction. In this paper, we proposed a method based on watershed...
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