gray level image processing
Comparative Study: 2D Image Processing In Gray Scale Using Wavelets
... the image 1 and its transformation with the DWT and its reconstruction with the coefficients of the second-last high resolution in its three directional components, in wh ich it can be observed that the resolution ...
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Remote Sensing Image Segmentation using OTSU Algorithm
... and image processing, Otsu's method, named after Nobuyuki Otsu is used to automatically perform clustering-based image thresholding or, the reduction of a gray level image to a ...
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Gray-Level Image Transitions Driven by Tsallis Entropic Index
... In [7], a survey of thresholding is given, which is discussing and categorizing methods into some groups, distinguished by means of the information the algorithms are manipulating. Among them, we find methods based on ...
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Palm Print Recognition Using Geometrical and Texture Features
... for processing. To extract features image is pre-processed as stated ...colour image is transformed into gray level image then we reduce the noise pixels from the gray ...
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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... Fast Gray Level Grouping (MFGLG) which is an enhancement of the traditional Fast Group Level Grouping (FGLG) ...Enhancement Image Fusion based on modified Fast Gray Level ...
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Segmentation of Lung Tumor Using GLCM Technique
... through image processing ...In image processing procedures, process such as extraction of lung region from chest computer tomography images, segmentation of lung region, feature extraction ...
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Development of Application for Pests and Diseases of Corn Android Based System
... signal processing which consists of four (4) main parts, namely preprocessing, color feature extraction, texture feature extraction, and ...desktop processing is sent back to the farmer via an android ...
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Preprocessing Framework for Document Image Analysis
... document image analysis techniques require a binary image for processing ...the image. Global thresholding depends only on gray levels of the ...both gray levels and local ...
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Surface Roughness Measurement By Using Image Processing Based Techniques
... surface image was calculated and calibrated with the various average surface roughness (Ra) of the surface measured by the ...the Gray Level Co- occurrence Matrix (GLCM) ...surface image ...
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WAVELET TRANSFORM AND LIP MODEL
... This paper has introduced the Logarithmic Wavelet Transform and shows that it can be computed by means of the classical Wavelet Transform and the isomorphic transform Ψ (f). Our application gives a first idea of the type ...
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Applying Onicescu information energy for gray level image segmentation
... in image processing and is a continuation of research presented in previous papers [5], ...the gray levels contained in the image, we will use for segmentation, the Onicescu information energy ...
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Gray Level Image Threshold Using Neutrosophic Shannon Entropy
... Neutrosophic representation of information was proposed by Smarandache [2], [7], [8] and [9] as an extension of fuzzy representation proposed by Zadeh [12] and intuitionistic fuzzy representation proposed by Atanassov ...
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Implementation of FPGA Based Image Processing Algorithm using Xilinx System Generator
... The Xilinx’s Generator is a System-level modeling tool from Xilinx that facilitates FPGA hardware design. It extends Simulink in many ways to provide a modeling environment well suited for hardware design. The ...
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Analysis of Machine Learning Techniques Applied to the Classification of Masses and Microcalcification Clusters in Breast Cancer Computer Aided Detection
... Once the segmentation phase has found suspicious re- gions of interest (ROI) containing abnormalities, a fea- ture extraction phase is performed. In [13] authors ana- lyzed the performance of temporal features as ...
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Gray Level Image Threshold Using Neutrosophic Certainty 1
... This article presents a new method of segmenting images with gray levels. The method is based on determining several thresholds for separation of gray levels. The determination of these thresholds is done ...
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Real time application to identify university buses for security system
... Automatic number plate recognition is mainly used to images stored in it. It captures the image by using cameras by recognize the text used in license plate stored the driver details used with their photograph. ...
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Ranking of Resumes Based on Certification Images to Enhance the Efficiency of Hiring Process
... the image logo from the document and applies image processing techniques to identify the certifications and provide the weight age to the candidate’s resume based on the weight age of the ...
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An Unsupervised Intelligent System to Detect Fabrication in Photocopy Document using Geometric Moments and Gray Level Co Occurrence Matrix
... Initially it was attempted to classify fabricated photocopies and non fabricated photocopies using GM up to 3 rd order and GLCM features individually on text in ROI of the document. The approaches did not yield required ...
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1. Type 2 fuzzy based image enhancement for bio-medical applications
... and image fusion to further improve the image ...satellite image enhancement. It demonstrated that image enhancement techniques used for satellite images could also be applied in frequency ...
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MATLAB Based Vehicle Number Plate Recognition
... With number plates coming in various shapes, sizes, fonts and colours, the algorithms needs to be refined in order to increase its efficiency. We have implemented automatic number plate recognition. This system was ...
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