This paper is focused on the analysis of wood surface inspection to wood machining industries. A defect detection approach for texture image, which uses an efficient image restoration scheme in wavelet domain, is presented. First, the texture image is decomposed by using wavelet base function in terms of the optimum decomposition levels, and then the restoration image can be reconstructed by properly selecting the smooth subimage or the detail subimages at best resolution levels. The homogeneous texture pattern can be effectively removed and only local defects are preserved in the restored image. A subband selection procedure is developed to automatically determine the best reconstruction parameters based on the energy distribution of wavelet coefficients. Then binarized image is received after image segmentation, At last the methods of image post-processing mathematical morphology were used in segmentation image. Experiments demonstrate the validity of the method, and show the potential possibility of real-time processing in an on-line wood surface inspection.
KEYWORDS: Cameras, Signal attenuation, Roads, Intelligence systems, Video, Information technology, 3D vision, 3D modeling, Visual process modeling, Computer simulations
Video-based vehicle detection is one of the most valuable techniques for the Intelligent Transportation System (ITS). The
widely used video-based vehicle detection technique is the background subtraction method. The key problem of this
method is how to subtract and update the background effectively. In this paper an efficient background updating scheme
based on Zone-Distribution for vehicle detection is proposed to resolve the problems caused by sudden camera
perturbation, sudden or gradual illumination change and the sleeping person problem. The proposed scheme is robust and
fast enough to satisfy the real-time constraints of vehicle detection.
Measuring skin structures quantitatively has many applications in dermatology and cosmetology. The purpose of this research was to extend from previous image processing and counting techniques to overcome challenges in time efficiency, customization for each image, and staining differences between images. Performances of the new techniques are then compared with traditional methods. The application of interest is the analysis of structural changes in skin responding to repetitive mechanical stress. The image processing and analysis methods for quantitative measurement of skin structures described in this paper represent an advancement over previous computer processing methods in terms of data management and automation. Results showed significant differences in cellular density in the papillary dermis and collagen density in the reticular dermis for skin subjected to combined shear/compression or tension compared with an unstressed control. The computer method took longer to conduct than the traditional method, though with recent advances in computer hardware this time difference would be eliminated. Keywords: Optical microscope, computerized morphometry, quantitative morphology, image processing, skin
KEYWORDS: Digital signal processing, Luminescence, Phase shift keying, Sensors, Signal processing, Fiber optics sensors, Fiber optics, Temperature sensors, Modulation, Control systems
The monitoring of the fluorescence lifetime of selected materials has been one of the more successful schemes in optical fiber temperature sensing. In principle, both the rise of the fluorescent signal at constant excitation and its decay are described by a first-order exponential, where the time constant ? is a function of the temperature. However few corrections must be introduced to account for instrumental contributions resulting in a baseline offset B, noise and radiation leakage from the excitation source into the detection channel. These corrections can be better applied by means of a digital signal processing circuit. The system uses modified digital phase sensitive detection with phase locked to a fixed value and the modulation period tracking the measured lifetime. It can compensate for correlated and uncorrelated offsets of the decay signal and to work with very low signal-to-noise ratio. The test results give a typical resolution of 0. 1 % for decay. Such a system has been applied to measuring the fluorescence decay time of a chromium-doped YAG crystal used as s sensing element of a optical fiber thermometer The calibration of the thermometer has shown a temperature resolution of 0. 1 0C from OC to 100 0C.
This paper presents a monitoring temperature system in real time. The fluoroptic temperature could be detected quantitatively by the signals of PSD. When the optical fiber is 2 m long, the real-time temperature sensitivity is 0.1 degrees Celsius and the accuracy is 1%. The high sensitivity and high accuracy are partly due to the operation of the light source feedback, and partly due to the ratio of measurement and reference signals. This fluorescence temperature measuring system finds wide application fields where conventional techniques either cannot be used, or have proven to be unsatisfactory. It is especially useful for measurements in electrically hostile environments.
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