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Object recognition the is an important step for the high-level visions processing tasks, such as security managing, and abnormality event analysis. In this paper, we address these challenges of abnormal water surface monitoring in real-world unconstrained environments where the background is complex and dynamic. In the algorithm proposed, firstly we extract the Gaussian-Hermite moment features of...
Automated detection of blood vessel structures is becoming a crucial interest for better management of vascular disease. In this paper, we propose an algorithm for vessel segmentation in digital retinal images based on integral channel features and random forests. In the first stage, preprocessing is performed to obtain the candidate pixels of vessels, then a host of simple features are extracted...
In this paper, we propose a novel algorithm for color image denoising. The algorithm is based on Chromaticity-Brightness (CB) color model which separating the color image into two components: chromaticity and brightness. The chromaticity is a unit vector on S2. Then the vectorial ROF model with unit norm constraint is used to process the chromaticity component. We first use Lagrange multipliers method...
In order to overcome the limit of traditional methods in image cast detection, a new cast detection approach with robust performance is presented. The algorithm by using digital image analysis is used to analyze the characteristics of the image itself. Especially the algorithm introduces image texture information to cast factor K. The new technique of evaluating cast detection not only is able to...
From the functional point of view, a method that employed an Immune Programming algorithm to extract rules from Neural Network (NN) was presented. According to quantifying color feature of landscape images had been marked with emotion values in China Affective Picture System (CAPS), the method clustered outputs of hidden neurons of NN, reduced the searching scale, and the mapping between color and...
The diffusion of knowledge and technology is a complex spatial process. Using geovisualization technology to visualize and analyze diffusion and dissemination of knowledge from the spatial view is of great value. Selecting the field of data mining as research subjects, we bring forward a new way to visualize knowledge diffusion of SCI papers based on the combination of scientometrics and geovisualization...
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