Edge detection and extraction is very important in imageprocessing and recognition whose algorithm directly affect the performance of the entire detection system. The ability of image denoising and the accuracy of ed...
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Edge detection and extraction is very important in imageprocessing and recognition whose algorithm directly affect the performance of the entire detection system. The ability of image denoising and the accuracy of edge detection are both required high, especially in the complex natural environment at sea. Most of image edge examination algorithms before have limitations and disadvantages of their own, so there is still room for improvement in this area. I'd like to put forward a sea-skyline detection algorithm and give simulation examples based on image filtering processing and gray image corrosion in the complex background of natural environment at sea, aiming at acquiring preferable ability of denoising and target extraction on the premise of ensuring the detection accuracy.
Digital filters forms an important part of today's expanding field of Digital Signal processing (DSP). Among them the most used filter is Finite impulse response i.e. FIR filters. FIR filters are used extensively ...
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ISBN:
(纸本)9781509047611;9781509047604
Digital filters forms an important part of today's expanding field of Digital Signal processing (DSP). Among them the most used filter is Finite impulse response i.e. FIR filters. FIR filters are used extensively used for filtering of image, modulation of frequency, precision arithmetic and for various other purposes. Thus, various optimization methods are employed for the designing of optimal digital FIR filters. Use of various optimization techniques provides better results for different filter coefficients with respect to control parameter, dependence, premature convergence, etc. They have many pros like simple design implementation, minimized error function, superior search capability and fast convergence. In this paper, we are going to compare some well recognized optimisation algorithms based on the ripples present in the pass band and stop band along with the attenuation provided by the stop band.
To detect defects in quartz rods using machine vision technology, we need to get the image through the camera and transmitted it to a computer for next processing. The energy of laser will be produced when it passed t...
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To detect defects in quartz rods using machine vision technology, we need to get the image through the camera and transmitted it to a computer for next processing. The energy of laser will be produced when it passed the object, which makes it difficult to identify the resulting quartz rod boundary. This paper proposes a method of boundary detection based on Hough transform circle, and improves the Hough transform of some algorithms for solving the problem of the large amount of calculation.
The paper employs theoretic and methodological generalization in order to develop new algorithms of orthogonal transformation in the field of aerospace photo processing. Employing systems of Vilenkin-Chrestenson funct...
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ISBN:
(纸本)9781509065318
The paper employs theoretic and methodological generalization in order to develop new algorithms of orthogonal transformation in the field of aerospace photo processing. Employing systems of Vilenkin-Chrestenson functions (VCF) in a non-trigonometrical space, we obtain a minimally possible shape of their construction. The paper describes algorithms and filtration samples (quasi-two- dimensional filtering and correlation analysis of aerospace photos when applied to distortions and image noise.
The process of image fusion can be defined as the process of combining multiple input images into a single composite image. Our aim is to create a single output image from the collection of input images which contains...
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ISBN:
(纸本)9781509047611
The process of image fusion can be defined as the process of combining multiple input images into a single composite image. Our aim is to create a single output image from the collection of input images which contains a better explanation of the view than the one provided by any of the individual input images. The fundamental problem of image fusion is one of determining the best procedure for combining the several input images. The review adopted in this paper is that combining various images with prior information is best handled within a statistical outline. The manuscript presented here is a representative collection of the latest advances in the field of image Fusion (IF) which is offered and a range of methods that are causative to its growth are presented. It describes the spatial and transforms domain fusion techniques such as, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Discrete Cosine Transform (DCT) and wavelet domain techniques and others.
This paper proposes a simple but effective way of implementing important pre-processing and Morphological operations on real-time video frames using a Field Programmable Gate Array (FPGA) that may be also found useful...
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ISBN:
(纸本)9781509047307
This paper proposes a simple but effective way of implementing important pre-processing and Morphological operations on real-time video frames using a Field Programmable Gate Array (FPGA) that may be also found useful in any imageprocessing application. Although many software based algorithms are already available, faster performances are required for real-time applications. The techniques concentrated in this paper involves FPGA based implementations of gray scaling, binarization, erosion, dilation, sobel edge detection and image resizing.
A recent and fascinating interest in computational symmetry for computer vision and computer graphics applications has led to a remarkable realization of new symmetry detection algorithms. Such a concern is culminated...
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ISBN:
(纸本)9781509063451
A recent and fascinating interest in computational symmetry for computer vision and computer graphics applications has led to a remarkable realization of new symmetry detection algorithms. Such a concern is culminated in a symmetry detection competition as a workshop affiliated with the 2011 and 2013 CVPR conferences. In this paper, we propose a method based on the computation of the symmetry level associated to each pixel. Such a value is determined through the energy balance of the even/odd decomposition of a patch with respect to a central axis (which is equivalent to estimate the middle point of a row-wise convolution). Peaks localization along the perpendicular direction of each angle allows to identify possible symmetry axes. The evaluation of a feature based on gradient information allows to establish a classification confidence for each detected axis. By adopting the aforementioned rigorous validation framework, the proposed method indicates significant performance increase.
image is a potential standard to convey information. Impulse noise degrades the image during image transmission and acquisition. The most important task of imageprocessing is noise filtering and image enhancement. De...
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image is a potential standard to convey information. Impulse noise degrades the image during image transmission and acquisition. The most important task of imageprocessing is noise filtering and image enhancement. De-noising the degraded image is an important research region in imageprocessing. Many de-noising proposals established which used standard median filter or its alterations to suppress noise. In this analysis paper, different algorithms for exclusion of different impulse noise and their performance over different noise circumstances are discussed. Each and every scheme has its benefits and drawbacks. The relative study assist in detection of most proficient algorithms in terms of edge preservation and noise suppression to restore the original image to the finest potential level. Most of the systems are suitable for some particular noise models, and does not perform effectively on other kind of noise models.
The paper discusses the application of System on Chip devices for processing Megapixel video streams. The domain of imageprocessing using high resolution images is very demanding in the scope of calculating power and...
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The paper discusses the application of System on Chip devices for processing Megapixel video streams. The domain of imageprocessing using high resolution images is very demanding in the scope of calculating power and frequently exploits special processing hardware. The progress of integration technology brings about SoC which are capable of meeting such processing demands. Characteristics of FPGA and DSP based systems are assessed. A concise survey of chip solutions is presented and a pair of representative systems is chosen for comparison of their properties. The design of a smoke detection system is used for evaluating the advantages and drawbacks of using such SoC solutions. Almost identical imageprocessingalgorithms are implemented in the case of FPGA and DSP. Both solutions meet the imageprocessing requirements and are suitable for real time processing. FPGA based solution is much faster as it uses pipelining for improving the utilisation of scarce memory resources.
In this work, a novel method to track the moving object is proposed using Mean shift algorithm. FPGA is used to process the video. Many algorithms for detecting moving objects are proposed using imageprocessing but i...
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ISBN:
(纸本)9781538619605
In this work, a novel method to track the moving object is proposed using Mean shift algorithm. FPGA is used to process the video. Many algorithms for detecting moving objects are proposed using imageprocessing but in this algorithm light change of the surrounding is also considered. Experiment is done using AVI files.
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