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local adaptive thresholding technique

Color Demosaicking in Digital Image Using Nonlocal Adaptive Thresholding and Local Directional Interpolation

Color Demosaicking in Digital Image Using Nonlocal Adaptive Thresholding and Local Directional Interpolation

... the local redundancy in a compact local window is exploited, the interpolation may not be accurate, especially around object boundaries where sharp color or intensity changes will ...(NLM) technique ...

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Quantitative Analysis of Local Adaptive Thresholding Techniques

Quantitative Analysis of Local Adaptive Thresholding Techniques

... ABSTRACT: Thresholding is a simple but effective technique for image ...locally adaptive thresholding method using neighborhood processing is ...of local image statistics of mean and ...

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Text Extraction Using Adaptive Thresholding

Text Extraction Using Adaptive Thresholding

... binarization technique is significantly designed for historical document ...binarization technique points either on finding an appropriate global threshold for each area in order to remove strains, smear ...

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A metal artifact reduction method for a dental CT based on adaptive local thresholding and prior image generation

A metal artifact reduction method for a dental CT based on adaptive local thresholding and prior image generation

... Many metal artifact reduction (MAR) methods have been developed since the intro- duction of a medical CT to the clinical field decades ago. Most of MAR techniques iden- tify the trace of metallic objects on the ...

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A Robustness Segmentation Approach for Skin Cancer Image Detection Based on an Adaptive Automatic Thresholding Technique

A Robustness Segmentation Approach for Skin Cancer Image Detection Based on an Adaptive Automatic Thresholding Technique

... is thresholding, it’s based on similarity approach and used for melanoma detection, it can be partitioned to two kinds’ global threshold and adaptive (local) threshold, Global Threshold is using a ...

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A Review on Text Extraction Using Adaptive Thresholding

A Review on Text Extraction Using Adaptive Thresholding

... binarization technique is significantly designed for historical document ...binarization technique points either on finding an appropriate global threshold for each area in order to remove strains, smear ...

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AN IMPROVED BINARIZATION TECHNIQUE FOR DEGRADED DOCUMENT IMAGES USING LOCAL THRESHOLDING METHOD

AN IMPROVED BINARIZATION TECHNIQUE FOR DEGRADED DOCUMENT IMAGES USING LOCAL THRESHOLDING METHOD

... Several adaptive document thresholding methods [4], [5], [15] have been ...typical adaptive thresholding approach is window based [16], which estimates the local threshold based on ...

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Overview of Medical Image Segmentation

Overview of Medical Image Segmentation

... Global thresholding [9] is one of the common techniques for image ...Global thresholding is not a very good method to identify ...Global thresholding has good results when used as a primary step of ...

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Cancer Cells Detection and Classification in Biopsy Image

Cancer Cells Detection and Classification in Biopsy Image

... The objective of this study is to classifying diagnosis data of breast cancer using feed forward back propagation neural network and Levenberg-Marquardt (LM) as the training algorithm. In this paper, LM training ...

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Implementation of Breast Tumor Demarcation in Digital Mammograms using Local Thresholding and Mathematical Morphology

Implementation of Breast Tumor Demarcation in Digital Mammograms using Local Thresholding and Mathematical Morphology

... algorithms, Local Thresholding and Mathematical Morphology, were successfully implemented on MATLAB ...of local thresholding based segmentation for almost all of the mammographic ...of ...

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Adaptive quantization by soft thresholding in HEVC

Adaptive quantization by soft thresholding in HEVC

... quantization technique does not take into account the importance of transform coefficients in terms of signal ...quantization technique based on a soft thresholding approach, in which the ...

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VHDL implementation and synthesis of adaptive thresholding

VHDL implementation and synthesis of adaptive thresholding

... List of Figures Figure 1.1 - Figure 1.2 - Figure 1 Design 2 Philosophy Altera Excalibur NIOS Development Board Histogram-Based 12 Global Thresholding Example Thresholding Example Local T[r] ...

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Local Contrast and Mean Thresholding in Image Binarization

Local Contrast and Mean Thresholding in Image Binarization

... the local window ...proposed technique give better result for large character size while the other detect only the character boundary like in fig ...new technique can give better result even at a ...

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Analytic Subbing On Application Based Denoising Techniques Using Wavelet Transform

Analytic Subbing On Application Based Denoising Techniques Using Wavelet Transform

... There are many approaches in the literature for the task of denoising, roughly divided into two categories: denoising in the original signal domain (e.g., time or space) and denoising in the transform domain (e.g., ...

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Thresholding Technique for Color Image Segmentation

Thresholding Technique for Color Image Segmentation

... Abstract - Image processing is a form of signal processing that manipulates an image by means of a processor. Computer vision is a high level image processing that includes methods for acquiring, processing, analyzing, ...

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 KNOWLEDGE EXTRACTION METHOD USING STOCHASTIC APPROACHES IN GOOGLE MAPS

 KNOWLEDGE EXTRACTION METHOD USING STOCHASTIC APPROACHES IN GOOGLE MAPS

... subband adaptive threshold has increased the noise reduction ability of the ...locally adaptive arbitrary window using homogeneity measure thus increases the PSNR value, as the arbitrary window gives a more ...

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Segmentation of Liver from CT Abdominal Images

Segmentation of Liver from CT Abdominal Images

... In [9], computer aided diagnostic system is designed for automatically extracting liver and tumor. The liver is segmented using region growing method. Thresholding technique is used for the analysis of ...

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BRAIN TUMOR SEGMENTATION USING ALGORITHMIC AND NON ALGORITHMIC APPROACH

BRAIN TUMOR SEGMENTATION USING ALGORITHMIC AND NON ALGORITHMIC APPROACH

... This intelligent system uses medical images as a input to analyses tumor tissue from MRI brain images. The images were acquired on a Siemens MAGNETOM1 1.0 tesla MRI system. The images were digital and 256 X 256 pixels in ...

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On the Use of Adaptive Fuzzy Wavelet Filter in the Speech Enhancement

On the Use of Adaptive Fuzzy Wavelet Filter in the Speech Enhancement

... which adaptive wavelet filter and spectral subtraction method were proposed as the pre- filter and microphone array is used as the post-filter ...network. Adaptive wavelet filter and spectral subtraction ...

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Image Segmentation of Cows using Thresholding and K-Means Method

Image Segmentation of Cows using Thresholding and K-Means Method

... called thresholding is one of the most commonly used operations in analyzing an object ...1). Thresholding is used to adjust the amount of gray degree present in the ...This thresholding process is ...

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