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Gray Level Co-occurrence Matrix

Gray-level co-occurrence matrix bone fracture detection

Gray-level co-occurrence matrix bone fracture detection

... fracture, gray-level co-occurrence matrix, image processing, long-bone fracturesCAD system, detection system, radiologic problem, femur bone INTRODUCTION Today, a large number of x-ray ...

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GRAY LEVEL CO- OCCURRENCE MATRIX FEATURES BASED CLASSIFICATION OF TUMOR IN MEDICAL IMAGES

GRAY LEVEL CO- OCCURRENCE MATRIX FEATURES BASED CLASSIFICATION OF TUMOR IN MEDICAL IMAGES

... through gray level co-occurrence matrix method and a supervised technique such as support vector machine has been selected for classification and its performance was analysed and ...

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Gray-level Co-Occurrence Matrix application to Images Processing of crushed Olives fruits.

Gray-level Co-Occurrence Matrix application to Images Processing of crushed Olives fruits.

... the gray-level co-occurrence matrix ...with gray tone are neighbourhood, are defined to extract the information of the parameters: Contrast, Correlation, Energy and ...

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Identifikasi Jenis Bambu Berdasarkan Tekstur Daun dengan Metode Gray Level Co-Occurrence Matrix dan Gray Level Run Length Matrix

Identifikasi Jenis Bambu Berdasarkan Tekstur Daun dengan Metode Gray Level Co-Occurrence Matrix dan Gray Level Run Length Matrix

... grey level co-occurrence matrix; gray level run length matrix Abstrak – Identifikasi jenis bambu dapat dilakukan dengan menggunakan citra daun ...metode Gray ...

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Emotion Recognition based on Gray  Level Co Occurrence Matrix and Adaptive Genetic Fuzzy System

Emotion Recognition based on Gray Level Co Occurrence Matrix and Adaptive Genetic Fuzzy System

... about emotion of a person. Recent rapid progress of communication technology and computer science has made facial expression recognition as a vital role in human-machine interface and advanced communication. In recent ...

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Finger Vein Recognition with Gray Level Co-Occurrence Matrix based on Discreet Wavelet Transform

Finger Vein Recognition with Gray Level Co-Occurrence Matrix based on Discreet Wavelet Transform

... with gray level co- occurrence matrix based on the discrete wavelet ...and gray level co- occurrence matrix with discrete wavelet transform is not ...

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Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network

Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network

... informasi. Gray Level Co-occurrence Matrix adalah salah satu cara yang sering digunakan untuk mendapatkan informasi dari objek ...ini Gray Level ...

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Cattle Race Classification Using Gray Level Co-occurrence Matrix Convolutional Neural Networks

Cattle Race Classification Using Gray Level Co-occurrence Matrix Convolutional Neural Networks

... as Gray Level Co-occurrence Matrix Convolutional Neural Networks (GLCM-CNN), to semi-unsupervisedly identify a cattles race given thousands of its images with complex background ...

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Mammograms Classification Using Gray-level Co-occurrence Matrix and Radial Basis Function Neural Network

Mammograms Classification Using Gray-level Co-occurrence Matrix and Radial Basis Function Neural Network

... the data set is divided into training, validation, and testing set with the composition of 70:15:15. 2.2. Methods This study is divided into three main processes, which are pre-processing, feature extraction, and ...

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Quality Assessment Of Orange Fruit Using  Svm Classifier And Gray Level Co-Occurrence Matrix Algorithm.

Quality Assessment Of Orange Fruit Using Svm Classifier And Gray Level Co-Occurrence Matrix Algorithm.

... V. CONCLUSION In image acquisition is convert visual images into a set of arithmetical data. This data can be generated on a processor. In image acquisition process generally three steps there are following: first step ...

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3D Gray Level Co Occurrence Matrix Based Classification of Favor Benign and Borderline Types in Follicular Neoplasm Images

3D Gray Level Co Occurrence Matrix Based Classification of Favor Benign and Borderline Types in Follicular Neoplasm Images

... Keywords Thyroid Follicular Lesion, 3D Gray Level Co-Occurrence Matrix, Random Ferest Classifier 1. Introduction Sub classification of FN has been proposed to triage each patient by ...

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An Unsupervised Intelligent System to Detect Fabrication in Photocopy Document using Geometric Moments and Gray Level Co Occurrence Matrix

An Unsupervised Intelligent System to Detect Fabrication in Photocopy Document using Geometric Moments and Gray Level Co Occurrence Matrix

... two level classification system to detect fabricated photocopied document using Geometric moments and Gray Level Co-Occurrence Matrix ...

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Ecosystem Controlling Using Identification of Animal Based on Deep Learning and GLCM (Gray Level Co occurrence Matrix) Method

Ecosystem Controlling Using Identification of Animal Based on Deep Learning and GLCM (Gray Level Co occurrence Matrix) Method

... 4. Implementation System In testing this system, image research and processing were analyzed using neural network algorithms, where all input and weighting data were taken from datasets of image of plants and animals ...

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Reversible Video Steganografi Menggunakan Metode Improved Reduced Difference Expansion Dan Analisis Gray Level Co-occurrence Matrix

Reversible Video Steganografi Menggunakan Metode Improved Reduced Difference Expansion Dan Analisis Gray Level Co-occurrence Matrix

... Untuk meningkatkan fleksibilitas proses steganografi salah satunya dapat dilakukan menggunakan media video sebagai cover serta menggunakan metode IRDE (Improved Reduced Difference Expansion) yang dikombinasikan dengan ...

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Butterfly identification using gray level co-occurrence matrix (glcm) extraction feature and k-nearest neighbor (knn) classification

Butterfly identification using gray level co-occurrence matrix (glcm) extraction feature and k-nearest neighbor (knn) classification

... using gray level co-occurrence matrix (glcm) ...accuracy level of 100%, which means the testing data of the Cethosia penthesilea class and Papilio nephelus class were all ...

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Feature Analysis of Kidney Ultrasound Image in Four Different Ultrasound using Gray Level Co-occurrence Matrix (GLCM) and Intensity Histogram (IH)

Feature Analysis of Kidney Ultrasound Image in Four Different Ultrasound using Gray Level Co-occurrence Matrix (GLCM) and Intensity Histogram (IH)

... regional gray-level distribution ...using gray level co-occurrence matrix (GLCM) and intensity histogram (IH) to find differences and similarities in kidney image texture ...

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The iris recognition using gray level co occurrence matrix for gabor wavelet transform and principal component analysis through path analysis test case

The iris recognition using gray level co occurrence matrix for gabor wavelet transform and principal component analysis through path analysis test case

... ABSTRACT Iris biometric is considered as one of the most efficient and trusted biometric methods for authenticating users. This thesis proposed an effective iris recognition system based on two different hybrid ...

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Batik Image Retrieval Based on Color Difference Histogram and Gray Level Co-Occurrence Matrix

Batik Image Retrieval Based on Color Difference Histogram and Gray Level Co-Occurrence Matrix

... the co- occurrence of grey intensity [7] and edge direction histogram (EDH) which is used to retrieve logo images ...texton co- occurrence matrix ...

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Cholesterol level measurement through Iris 
		image using Gray Level Co occurrence Matrix and Linear Regression

Cholesterol level measurement through Iris image using Gray Level Co occurrence Matrix and Linear Regression

... cholesterol level in the human body is ...the level of excess cholesterol in the human ...the matrix simulator which is expected to be able to detect excess cholesterol levels with input in the form ...

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Mammogram Classification using Curvelet Coefficients and Gray Level Co Occurrence Matrix for Detection of Breast Cancer

Mammogram Classification using Curvelet Coefficients and Gray Level Co Occurrence Matrix for Detection of Breast Cancer

... II. PROPOSED METHOD The proposed mammographic image classification method consists of four prime modules, such as region of interest (ROI) extraction, feature extraction, feature selection, and classification. A ...

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