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Microscopic size wear debris transported through oil-lubricated systems provides important information about the condition of machinery, in particular the state of wear. Experts extract this information to monitor the operation of the machine to ensure safety, efficiency and economy of operation. This paper describes the analysis of microscopic particles generated by wear mechanisms by using Fourier...
Currently the market and the academic community have required applications of image and video processing with several real-time constraints. In order to seek an alternative design that allows the rapid development of real time image processing systems this paper proposes an unified hardware architecture for some image filtering algorithms in space domain, such as windowing-based operations, which...
Cavity profile and its parameter is an important aspect in supercavitation experiment, series of slender-body cavity flow pattern and control channel experiments were studied in high-speed tunnel. The cavity image information was obtained on the basis of high-speed photography, by further optimization of cavity image; the complete cavity information was given to provide valuable reference on study...
Eye illusion is one of the most interesting topics which attracts majority of the people. In this paper, an interactive evolutionary technique has been proposed to improve the illusion factor in eye illusion images. Eye illusion or vision illusion is subjective and can differ from person to person. This technique utilizes an evolutionary algorithm, namely Differential Evolution (DE), to improve the...
In order to realize infrared small object track detection, the paper analyses the principle of the target tracking detection, the technology combining Mean Shift track algorithm and image processing is proposed. According to the principle, every tache of detection system is analyzed, and then the optic detection model is set up. The detection model of dynamic object is set up. The paper analyses the...
Image Processing has a vital role in quality analysis of objects and presumably is one of the best ways of non destructive techniques. This paper aims at detecting flaws if any in the granite blocks by analysis of their digital images. Two common defects, Crack and Mica contamination is studied. The unique characteristics of the defects are studied. To detect the mica contamination k-means segmentation...
Typical real time computer vision tasks require huge amount of processing power and time for handling real time computer vision applications. Parallel processing founds to be the only solution to obtain the require processing speed for handling high-speed image processing applications. Generally SIMD architecture is suitable under low level processing while MIMD architecture is suitable for high-level...
Edge of image is one of the most fundamental and significant features. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. With the continuous improvement of remote sensing image, especially the appearance of Digital Aerial Image, edge detection is necessary step to extract information...
The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding...
In this paper, a non-contact approach to roundness measurement using machine vision is proposed. A test-rig and computer algorithm are developed to realised the approach. The computer algorithm employs minimum zone circle MZC technique to measure the roundness deviation. High contrast and good quality image segmentation is produced with the developed image processing algorithm technique. Camshaft...
To solve the QR code recognition problem caused by ordinary camera collection, the recognition algorithm based on image processing is put forward in this paper. The whole process including image binarization, image tilt correction, image orientation, image geometric correction and image normalization allows images collected on different illumination conditions, different acquisition angles to be quickly...
The fire and smoke monitoring systems are useful in different industry such as military, social security and economical. The recent methods for fire and smoke detection are used only motion and color characteristics thus many wrong alarms are happening and this is decrease the performance of the systems. This research presents a new method for fire and smoke detection through image processing. In...
The image information disguising technology is a new technology in information security domain in recent years. Using the S- rough sets theory and element migration's dynamic and randomness, in view of the image information disguising technology, proposed the image increase disguising and decrease disguising concept, has given image information disguising characteristic theorem based on the S- rough...
The usage of Cellular Automata (CA) for image processing tasks in self-organizing systems is a well known method, but it is a challenge to process such CAs in an embedded hardware efficiently. CAs present a helpful base for the design of both robust and fast solutions for embedded image processing hardware. Therefore, we have developed a system on a chip called ParCA which is a programmable architecture...
Image segmentation is one of the most important research areas in image processing and computer vision, and is a key step in image processing and image analysis. This paper introduces medium mathematics system which is employed to process fuzzy information for image segmentation. Based on the measure of medium truth degree, this paper presents a novel image segmentation method by introducing the distance...
In this paper, successfully we had implemented Fant's resampling algorithm by using cubic convolution for resampling the images that consists two passes. It does not exhibit the aliasing artifacts associated with techniques for spatial transform of discrete sampled images is possible through the use of a complete and continuous resampling interpolation algorithm. Applications to image processing include...
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications which include, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. In this paper an attempt is made to recognize handwritten characters for English alphabets without feature extraction...
Group mapping law (GML) of histogram specification is modified to use histogram equilibrium, and a detailed arithmetic about histogram equilibrium is provided. The result testifies that the arithmetic can improve accuracy of histogram equilibrium.
A new method for spatial matching of data with different resolution was proposed by introducing the concept of standing and contour pixels in histo-variogram theory, and was examined in quality validation of the sea surface temperature data obtained by FY2-C satellite. For comparing satellite data with grid data, this method can reduce the spurious error resulted from changed pixel characteristics...
One of the important problems in ceramic tile industry is tiles' quality classification with automatic systems by applying machine instead of human. Tiles' quality can be divided into color analysis, dimension verification, and surface defect detection. It's very difficult for human to control all of them, because of harsh industrial environment with noise, extreme temperature and humidity. In this...
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