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In order to filter out microscopic image of Chinese herbal medicines (CHM) which is exposed by impulse noise pollution in the process of collection and access, and improve the efficiency and accuracy of the images in the follow-up detection and identification process, an algorithm of impulse noise detection and the two-step filtering using improved Pulse Coupled Neural Networks (PCNN) and morphology...
This paper explores the causality and responsibility problem (CRP) for the non-answers to probabilistic reverse skyline queries (PRSQ). Towards this, we propose an efficient algorithm called CP to compute the causality and responsibility for the non-answers to PRSQ. CP first finds candidate causes, and then, it performs verification to obtain actual causes with their responsibilities, during which...
In the frog and haze climatic condition, the captured picture will become blurred and the color is partial gray and white, due to the effect of atmospheric scattering. This situation brings a great deal of inconvenience to the video surveillance system, so the study of defogging algorithm in this weather is of great importance. This paper deeply analyzes the physical process of imaging in foggy weather...
Edge detection is an essential pre-processing step in image segmentation and object recognition. Conventionally, mathematical morphological edge detection methods adopted a single structure element so that they are difficult to extract complex edge features. In this paper, a novel edge detection algorithm about multi-scale and multi-structure elements morphological is proposed. First, the noise can...
Transient growth is a problem in Iterative Learning Control (ILC) in which the tracking error temporarily grows very large during the learning process, before converging to a small value. While some ILC algorithms can guarantee monotonic convergence, there are limitations when the model is uncertain. This paper presents a new algorithm to reduce the transient growth in ILC. An iteration domain filter,...
The problem of image Gaussian noise filtering in the framework of Pulse Coupled Neural Network (PCNN) time matrix is addressed. The time matrix, generated by PCNN, contains useful information related to spatial structure of the image under processing. It is a mapping from image spatial information to time sequence. Through time matrix, Gaussian noisy pixels can be detected and then processed by using...
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