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Temperature Sensitive Paint (TSP) is a kind of special temperature sensor. TSP test is an essential approach to measure the surface temperature distribution, especially for high temperature, large area aero-engine components. The manual method of TSP test has a weak repeatability because it's heavily rely on the operator's personal experience and proficiency. Based on image processing algorithms,...
Nowadays, unattended monitoring system has been widely used in substation for its efficiency and efficacy, and it sometimes may cause safety problems for utility workers. In order to ensure workers' safety, in this paper, we focus on the problem of illegal human ladder climbing action recognition in substation using vision-based algorithm. Specifically, we first detect “forbidden” and “allowing” types...
On account of the substation is a basis and important element of the power system, its maintenance plays a pivotal role in the stable operation of power grid. As the maintainer of the substation, the on-site staffs work long-term in strong electromagnetic field environment. Therefore, it is necessary to wear the working clothes strictly. In order to strengthen the working clothes wearing circumstance...
Safety helmet wearing detection is very essential in power substation. This paper proposed a innovative and practical safety helmet wearing detection method based on image processing and machine learning. At first, the ViBe background modelling algorithm is exploited to detect motion object under a view of fix surveillant camera in power substation. After obtaining the motion region of interest, the...
Automatic fire flame detection is important for intelligent video surveillance. The background model and various color features are usually adopted for flame detection. In this paper, a fire flame detection method is developed by combining both background subtraction and region covariance. The color distribution method and background model with an adaptive background learning model are used to preprocess...
Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as over-saturated by reflection, too dark or obscure. In this...
White-RGB (WRGB) color filter array (CFA)-based CMOS sensor is a new and popular technique to improve the image quality directly with a higher sensitivity White (W) filter. Considering there is no color information in the pixel assigned to W, color separation from W raw data is necessary. We propose a color separation method based on a novel physicallike virtual color filters model for the WRGB CFA-based...
To resolve the problem that the face detection is slow and detection efficiency is low in complex background, this thesis adopts double color space for color modeling based on YCbCr color space and RGB color space, and on this basis we adopt Adaboost algorithm for face detection. Based on the research of Adaboost algorithm, this thesis proposes improvements on the Adaboost training process and detecting...
In Mean Shift algorithm, the features of the tracked target and the image matching similarity criterion have great influence on the result of tracking. a new algorithm of target tracking is proposed. the algorithm combine local binary pattern and color information to form a new feature CL, which tracks target by using a method of centroid iteration based on maximum posterior probability. Thanks to...
In a real-time face recognition system, complex background that occurs in an image or video can degrade the accuracy of both face detection and recognition due to the uncontrolled environment. However, few studies have been proposed to address this issue. In this paper, we propose an adaptive skin color model to make the system more reliable. First, real face region is elected among face-like regions...
Tongue diagnosis is an important foundation of the syndrome difference. The segmentation of the body of tongue is a premise to establishing a system of automatic diagnosis by the feature of tongue in Traditional Chinese Medicine (TCM), whose qualities affect on the performance of tongue diagnosis. Because of similar color between tongue body and background, it is difficult to segment tongue. In order...
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