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A variety of object tracking algorithms have been published in the field of image process, but most of them are easily influenced by illumination intensity and may not be reliable in cluttered environments. This paper proposes a novel color tracking system by extracting an object of interest with color similarities, which is based on an Improved Fuzzy Color Extractor (IFCE). The IFCE uses the angle...
To ensure the quality monitoring of a thin film transistor (TFT) - Liquid Crystal Display (LCD) panel and detect the defective products in the whole production process, this paper presents a pattern generation system for functionality test of TFT-LCD panels, which is composed of a PC-based graphic user interface (GUI) and a test signal generator. PC is mainly used to provide the GUI, which allows...
Modern industrial cameras mainly use the Bayer pattern as color filter array (CFA). However, this filtering limits the resolution of the color space. As interpolation methods cannot reconstruct the original image perfectly, they have to be optimized for a specific application. Therefore, the interpolation should match the purpose of the image processing system. Many standard algorithms are optimized...
Humanoid robot path finding is one of the core-technologies in robot research domain. This paper presents an approach to finding a path for robot motion by fusing images taken by the NAO's camera and proximity information delivered by sonar sensors. The NAO robot takes an image around its surroundings, uses the fuzzy color extractor to segment its potential path colors, and selects a fitting line...
Cameras are embedded in many mobile/wearable devices and can be used for gesture recognition or even sign language recognition to help the deaf people communicate with others. In this paper, we proposed a vision-based gesture recognition system which can be used in environments with complex background. We design a method to adaptively update the skin color model for different users and various lighting...
Information retrieval based re-configurable recycling is crucial for solving the environmental and social problems raised by the dramatically increasing amount of waste printed circuit boards. However, the indispensable localization of mounted components for the desired information retrieval is an unsolved problem for state-of-the-art techniques so far. In this paper, for the first time, a feasible...
Cloud detection plays an important role in total-sky images based solar forecasting and has received more attention in recent years. Accurate cloud detection for complicated total-sky images is especially changeling due to the low contrast and vague boundaries between cloud and sky regions. Unlike the existing cloud detection method without any preprocessing, one novel decorrelation-stretch (DS) based...
In order to solve existent questions of CAI (Computer Aided Instruction) in university teaching, the course of Elements of Information Theory was taken as an example to describe how to use the CAI. According to characteristic of this course and teaching law, CAI could be used correctly and reasonably by some methods which could wake up the interest of students, such as the combination between writing...
In order to achieve an efficient and environment-friendly recycling of printed circuit boards (PCBs), a comprehensive analysis of their material composition is essential. Besides sophisticated chemical and physical methods for a direct material analysis, an indirect method based on information retrieval provides a less costly and more efficient alternative. During the process of information retrieval,...
A fuzzy color extractor is defined by fuzzy rules to extract certain colors based on a color pattern (color seed). In order to extract certain colors from images in real-time, this paper attempts to implement a fuzzy color extractor on NI myRIO embedded device, which features the Xilinx Zynq-7010 all-programmable system including a dual-core ARM® Cortex™-A9 real-time processor and an Artix-7 FPGA...
Due to the complex structure and the great variability of printed circuit boards (PCBs), an accurate analysis of their material composition and consequently an efficient recycling is currently hardly possible. Facing these problems, we proposed an automated PCB recycling system with a core component for the information retrieval. As a first step towards automated recycling based on a comprehensive...
The dramatic increase of electronic waste requires automatic recycling, including technologies from machine vision. A framework for segmentation and classification of THC (through-hole components) mounted on PCBAs is presented, using both RGB and depth frames from the Kinect sensor by Microsoft. A segmentation approach, combining local and global features in a flexible manner, is shown to optimize...
Now vision-based gesture recognition plays an important role in the fields of image processing, pattern recognition and so on. Human being hands are highly variable organs and hand features are affected easily by various environmental factors. Considering the characteristics of hand gesture, in this paper we proposes an improved YCbCr color space method to segment gesture images, and extracts Fourier...
Motivating from biological visual cues in the cortex, by simulating visual information processing and transmission mechanism in the human brain, and using Bayesian network to design object perception model in the visual cortex, this paper proposed an object perception model based on Bayesian network. First, extracted shape feature, color feature, texture feature of the given images; Second, normalized...
A new visual object tracking algorithm is proposed by using joint feature points correspondences and color similarity of the moving object to solve the background disturbance. This tracking algorithm is based on particle filtering in which a new method of computing each sample weight is proposed. Each sample weight can be obtained through measuring the similarities of color histogram and feature points...
Abstract-The cloud is a primary factor for influencing the optical satellite remote sensing image quality. Cloud detection is the necessary link in the image data analysis processing. MODIS data is the optimal remote sensing data source for detecting cloud .The paper puts forward a new cloud detection algorithm of MODIS data with K-mean clustering and HSV color model. The proposed method just makes...
According to observe diagnostics theory of Traditional Chinese Medicine (TCM), the lip color of one person is considered as symptoms and signs to diagnose whether his spleen or stomach is healthy or not. In traditional diagnostics method, the lip color is recognized by TCM master or veteran practitioner. The diagnostic result is affected not only by the doctor's knowledge and experience, but also...
How to remove cloud and shadow completely through several (more than 2) images is considered in this paper. Based on landsat5 data, when enter several images, it can automatically find one image with the least cloud and shadow as the base image. Then mosaic with other images which are taken in different time for the same area, an image without any cloud and shadow is produced.
Accurate presentation of high resolution images on wide varieties of multimedia devices, especially on pervasive mobile multimedia devices, faces great challenge. In this paper, we present an angle preserved warping method for image retargeting which allows resizing images to arbitrary aspect ratios while minimizing the loss of important information. To accomplish this, we first cover the original...
Shot boundary detection is an important fundamental process in video analysis. A novel shot boundary detection is proposed in this paper. To improve the performance of the algorithm and reduce the computational cost, frames that are clearly not shot boundaries are first removed from the original video. After that, new features are proposed to capture the changing statistics of different kinds of shot...
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