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The diffusion of oil slick is very fast. There are speckle noises and vague boundaries in PolSAR image of oil slick, how to distinguish and mark the continuous edges of oil slick quickly is the basic requirement of oil slick monitoring service. This paper presents a new edge tracing algorithm, which implements the edge tracing of oil slick based on multi-feature fusion. Based on the polarimetric feature...
Currently the micro-robotic cell injection procedure is performed manually by professional bio-operators. It is a challenging task requiring advanced skills including the ability to precisely control the movement of a micropipette. Developing these skills requires both lengthy and intensive training, and significant practical experience. This paper extends upon our previous work in desktop Virtual...
Due to the ever increasing commercial availability of High Dynamic Range (HDR) content and displays, backward compatibility of HDR content with Standard Dynamic Range displays is currently a topic of high importance. Over the years, a significant amount of Tone Mapping Operators (TMOs) have been proposed to adapt HDR content to the restricted capabilities of SDR displays. Among them, the Histogram...
Visual saliency detection (VSD) has been attracting increasing attention due to its wide applications in computer visions. In this paper, a visual saliency detection method based on maximum entropy random walk (MEVSD) is proposed. Gaze wandering over images is modeled as a random walk process on a graph, in which the super-pixels and their similarities are regarded as nodes and edges respectively...
Salient object detection in hyperspectral imagery has drawn people's attention in recent years. Some detection methods which focus on extending Itti's visual saliency model into spectral domain have been proposed. However, these methods are sensitive to high-contrast edges and cannot preserve boundary of salient object well. To address these shortcomings, we propose a region-based spectral gradient...
Differentiation of interval-valued functions is an intricate problem, since it cannot be defined as a direct generalization of differentiation of scalar ones. Literature on interval arithmetic contains proposals and definitions for differentiation, but their semantic is unclear for the cases in which intervals represent the ambiguity due to hesitancy or lack of knowledge. In this work we analyze the...
A novel multiscale phase congruency (MPC) based analysis method is proposed in this paper for edge saliency detection and non-salient region texture suppression. Several MPC maps are proposed to be merged. Gaussian function based center priors and threshold processing are applied for the final edge saliency map generation, which can effectively suppress the textures and the detailed edges of non-salient...
The application of image super-resolution technologies in recent years has increased noticeably. The main purpose of image up-scaling is to obtain high-resolution images from low-resolution images, and these up-scaled images should keep satisfactory visual qualities and present natural textures. The most popular image up-scaling algorithms are based on interpolation methods in spatial domain. However,...
With the rapid development of the usage of digital imaging and communication technologies, there appears a great demand for fast and practical approaches for image quality assessment algorithms which can match human judgments accurately. In this paper, we draw the human visual characteristics into no-reference image quality assessment field, and propose a no-reference image quality assessment method...
The theory of structure similarity (SSIM) is a new idea to evaluate the image quality by simulating the function of the human visual characteristics. Because the structure similarity model derived from this theory is very simple, it is widely used. However, the SSIM model only considered that human vision system can only extract the structure information of the image. This model is too limited. So...
Film sequences generated using image-based rendering techniques are commonly used in broadcasting, especially for sporting events. In many cases, however, image-based rending sequences contain artifacts, and these must be manually located. Here, we propose an algorithm to automatically detect not only the presence of the two most disturbing classes of artifact (popping and ghosting), but also the...
An object often has many distinct manifestations in computer vision, which brings a great challenge to utilizing more comprehensive information. Inspired by some biological researches about edge sensitivity and global structure priority, our key insight is to establish unified transfer classification network with shared contour information. Combining two convolutional networks with three cascaded...
In flotation process, the froth layer thickness has a direct effect on the mineral recovery and concentrate grades. While the visual froth features have a distinctive implicit relationship with the thickness of the froth layer. A novel soft measurement method for the froth layer thickness based on fusing different froth visual features is presented. A novel color complex network-based method is proposed...
Saliency detection is a powerful tool for many applications because it can provide valuable information reflecting human visual attention. Quadtree decomposition is a classical and efficient image operator which can divide image into square blocks in different scales. The blocks in smaller size contain valuable information such as edges and texture. In image lossy compression or similar applications,...
In this paper, the implementation to estimate the focus map spatially based on the intentional reblur of one image, which is the only input data, is presented. This enables flexible computation in the spatial domain, rather than the frequency domain. The gradient magnitude term widely used in image processing was used to derive a ratio map. The pixels closer to the focal point of the camera were on...
Image modality classification categorizes images according to their type. It is an important module in the Open-iSM multimodal (text+image) search engine that retrieves figures from biomedical articles. It is a hierarchical classification where on the top level the input figures are classified into two general categories: regular images (X-ray, CT, MRI, photographs, etc.) vs. illustration images (cartoon...
Aiming at the problems in view of existing obstacle detection method, such as low adaptability and low recognition rate in the environment of lighting, multi-objective and background interference, an obstacle detection method based on restricted region growing and saturation characteristics is proposed. Firstly, the original image containing the edge information is processed by the restricted region...
Engineering of the compiled software is an important task in software engineering. One of the stages of the engineering technologies is a construction and analysis of a control flow graphs, which reflect a general structure of algorithms. The paper presents a technique for analyzing and visualizing the control flow graph of a compiled software. The analysis is based on semantically equivalent transformations...
The aim in this paper is to present a graph-based method for image processing from color digital images and to extract their color and geometric features, in order to determine later the contours of the visual objects and to perform syntactic analysis of the determined shapes. This method may be extended for volumetric digital images. The proposed graph-based segmentation method is divided into two...
Autonomous underwater vehicles (AUVs) often perform high-resolution survey missions. Such missions are often planned on low resolution bathymetry maps using offline coverage planning methods, e.g., using a standard lawn-mower trajectory that is adapted to the coarse-resolution representation of the terrain. We present in this paper an approach to adapt the exploration online during the mission, namely...
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