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Topic models [e.g., probabilistic latent semantic analysis, latent Dirichlet allocation (LDA), and supervised LDA] have been widely used for segmenting imagery. However, these models are confined to crisp segmentation, forcing a visual word (i.e., an image patch) to belong to one and only one topic. Yet, there are many images in which some regions cannot be assigned a crisp categorical label (e.g...
Topic models (e.g., pLSA, LDA, SLDA) have been widely used for segmenting imagery. These models are confined to crisp segmentation. Yet, there are many images in which some regions cannot be assigned a crisp label (e.g., transition regions between a foggy sky and the ground or between sand and water at a beach). In these cases, a visual word is best represented with partial memberships across multiple...
High resolution cardiac CT imaging technology has revealed the complex endocardial structures of the left ventricle, such as the trabeculae and the papillary muscles. In this paper, we study the morphology of such complex structures. We represent the structures accurately and concisely using curve skeletons, and measure these structures using topological and geometrical features. It is observed both...
This paper presents an automatic procedure for rapid building extraction from optical very high resolution (VHR) satellite imagery. Classical extraction models are always complex and time-consuming. The optimized process of building extraction consists of three main rapid stages: edge-preserving and smoothing bilateral filter, line segment detection, perceptual grouping polygonal building boundary...
This paper presents a warping-based method for synthesizing multiple views from a binocular stereoscopic image. Auto stereoscopic displays require multiple views while most stereoscopic cameras can only capture two. Popular novel view synthesis methods, such as depth image based rendering (DIBR), often heavily rely on accurate depth maps, which are still difficult to obtain. The proposed method requires...
Aiming at the features of moving small target in infrared sequence dynamic image, this paper presents a small target detection method based on morphology and wavelet transform. Firstly, the image is preprocessed using top-hat transformation to suppress most of the background clutter and enhance the target. Secondly, the image is decomposed by using single-scale wavelet transform and the high frequency...
Segmentation of fingerprint image is the first step of fingerprint recognition, and it plays an essential role which helps to preserve genuine and reduce false minutiae and further aids the performance of Automatic Fingerprint Identification System (AFIS). The problem of segmentation has been thoroughly studied but never been completely solved. During this paper, we propose a novel representation...
Road sign detection and recognition is an important research issue of driver assistance systems. This paper proposes a two-stage automatic detection and recognition algorithm for the most common road signs in China. In the first phase, color segmentation and Hough transform are used for ROI detection. Considering the difference between the actual road signs and standard road signs, the pictograph...
2D plus depth is the most convenient way of representing 3D content. Unlike traditional methods of depth map generation which recovers precise geometry from multiple images, this paper presents an example-based method for automatically creating a layered 3D depth map from a single photograph. In our method, example-based background matching is used to identify the closest background and segment the...
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