Laplacian of Gaussian
Lossless Huffman coding image compression implementation in spatial domain by using advanced enhancement techniques
... as Laplacian of Gaussian filter. Use laplacian of Gaussian filter to detect edges of lossless Huffman coding best quality compressed image(scenario#8) of block size of 16 and codebook size of ...
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Optimized Adaptive Thresholding based Edge Detection Method for MRI Brain Images
... This section presents the experimental results of the proposed techniques of edge detectors such as Canny, Sobel, Prewitt, Laplacian of Gaussian, Roberts cross operator, Adaptive threshold method, and ...
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A Quantitative Performance Analysis of Edge Detectors with Hybrid Edge Detector
... In a two dimensional image, pixel whose gray level value is much different from its neighborhood pixels is distinguished as an edge pixel. However, it is difficult to define the word “much” quantitatively and it is quite ...
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Machine vision based expert system to estimate orange mass of three varieties
... Prewitt, Roberts, F special function with Sobel type, Sobel and zero-cross methods, respectively. All methods with Sobel type had good results for Khooni orange except for the F special function. The reason of this ...
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Vehicle Speed Estimation Using Headlight Trajectory Information in Night Time
... Proposed system is to compute the speed of the vehicle during nighttime by detecting its headlight, tracking and pairing of headlight, and vehicle speed estimation. To detect the vehicle‟s headlight, the reflection ...
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IMPROVING EDGE DETECTION OF DARK IMAGES USING FUZZY METHOD
... In this paper, the algorithm to find the edges associated with an image had been implemented .Comparison were made amongst the various other edge detection algorithms that have already been developed and displayed the ...
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A Comprehensive Analysis of Edge Detectors in SD OCT Images for Glaucoma Diagnosis
... with morphological changes to Optic Nerve Head (ONH), Retinal Nerve Fibre Layer (RNFL) and macular ganglion cell region. Spectral Domain-Optical Coherence Tomography (SD- OCT) is a high resolution, on-invasive imaging ...
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Performance Evaluation of Stereo Matching Algorithms in the Lack of Visual Features
... The wavelet-based localized correlation function matching algorithm (WLCM) decomposes both stereo images using the Laplacian of Gaussian wavelet (LoG). A correlation kernel is also defined according to the ...
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Revealed a spot in the setting with optimized specifically measuring fluorescence microscope images
... the Laplacian of Gaussian (LoG) of the intensity image and automatically detects the characteristic scale of the objects of ...a Gaussian window, whose size has a very low impact on the detection ...
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MULTI LEVEL AES DESIGN SECURITY: FROM SYSTEMC TLM TO FPGA
... the Laplacian of Gaussian, Otsu’s method and the Canny Edge Detector is ...algorithm. Laplacian of Gaussian algorithm provides the reduction and expansion of the data using Image ...
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EDGE Detection Techniques Using Hough Transform
... In this paper we present Hough transform based line detection using different edge detection techniques like- Robert, Sobel, Prewitt, Kirch, Laplacian of Gaussian, Laplacian and Canny. Even though so ...
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Improvement of Pest Detection Using Histogram Adjustment Method and Gabor Wavelet
... of Laplacian filters, Canny and Sobel were applied on the leaves; after the separation of the affected parts, the classification and diagnosis phase were ...
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... by Gaussian blur, especially CT medial ...a Laplacian filter with an iterative deblurring algorithm such as the Richardson-Lucy Algorithm to deblur the degraded ...the Laplacian filters perform fast ...
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Robust Algorithms for Unattended Monitoring of Cardiovascular Health
... Exact vs Weighted Reconstruction Gaussian vs Identity Sensing Matrix Gaussian Exact Fixed Gaussian Weighted Fixed Gaussian Exact Fixed Identity Exact Fixed Gaussian Exact vs Identity Wei[r] ...
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A Robust Technique for Remote Sensing Image Enhancement based on Gaussian and Laplacian Pyramid Fusion with DWT
... Remote sensing image enhancement techniques have been widely used in many applications of image processing where the subjective quality of images is important for human interpretation. Contrast is an important factor in ...
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Robust Scale Estimation for the Generalized Gaussian Probability Density Function
... The estimation of θ is performed as described in Section 5. A comparison with ro- bust recognition using M-estimators (Dahyot et al., 2000) is proposed and several results are presented in figure 11. Observations present ...
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The Modelling of Rainflow Matrices with a Mixture of Gaussian Functions
... of Gaussian functions in the normal ...of Gaussian functions is the same as it was in the case of the estimation of the normal mixture parameters, based on extracted load cycles, because the number K of the ...
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Survey of Graph Energies
... It was followed by the distance energy (based on the eigenvalues of the distance matrix) [41], signless Laplacian energy (based on the eigenvalues of the signless Laplacian matrix) [10],[r] ...
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On Laplacian and Normalized Laplacian of a Social Network
... graph Laplacian gives pertinent invariants of the corresponding graph G and helps in bringing out the qualitative ...combinatorial Laplacian, up to isospectral ...algebraic Laplacian L to the ...
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Energy of graphs
... the Laplacian energy of a graph as the sum of the absolute deviations of the eigenvalues of its Laplacian matrix ...signless Laplacian, the distance, the incidence and many other versions of energy ...
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