نتایج جستجو برای: ماتریس glcm

تعداد نتایج: 10060  

Journal: :Jurnal Sains Manajemen Informatika dan Komputer 2021

Jerawat merupakan penyakit kulit yang mengakibatkan peradangan kronis biasanya terdapat di wajah, leher, dan lengan. Terdapat berbagai jenis jerawat yaitu blackhead, whitehead, papula, pustula, nodul cystic. Telah banyak upaya dilakukan untuk mengenali jerawat, seperti tindakan pemeriksaan langsung atau menggunakan alat skin analyzer, kedua cara ini sangat tidak efektif dalam pengenalan jerawat...

2014
Qiang Tao Shuqian Luo

BACKGROUND This paper is to report the new imaging of gastric cancers without the use of imaging agents. Both gastric normal regions and gastric cancer regions can be distinguished by using the principal component analysis (PCA) based on the gray level co-occurrence matrix (GLCM). METHODS Human gastric cancer BGC823 cells were implanted into the stomachs of nude mice. Then, 3, 5, 7, 9 or 11 d...

Journal: :Remote Sensing 2017
Hongrui Zheng Peijun Du Jike Chen Junshi Xia Erzhu Li Zhigang Xu Xiaojuan Li Naoto Yokoya

Land Use and Land Cover (LULC) classification is vital for environmental and ecological applications. Sentinel-2 is a new generation land monitoring satellite with the advantages of novel spectral capabilities, wide coverage and fine spatial and temporal resolutions. The effects of different spatial resolution unification schemes and methods on LULC classification have been scarcely investigate...

2011
Aswini Kumar Mohanty Swapnasikta Beberta Saroj Kumar Lenka

Mammogram–breast x-ray is considered the most effective, low cost, and reliable method in early detection of breast cancer. Although general rules for the differentiation between benign and malignant breast lesion exist, only 15 to 30% of masses referred for surgical biopsy are actually malignant. In this work, an approach is proposed to develop a computer-aided classification system for cancer...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2018

Journal: :International Journal of Computer Applications 2015

Journal: :International Journal for Research in Applied Science and Engineering Technology 2019

2012
Sahar Jafarpour Zahra Sedghi Mehdi Chehel Amirani

Automated and accurate classification of brain MRI is such important that leads us to present a new robust classification technique for analyzing magnetic response images. The proposed method consists of three stages, namely, feature extraction, dimensionality reduction, and classification. We use gray level co-occurrence matrix (GLCM) to extract features from brain MRI and for selecting the be...

2015
Gamil Abdel Azim G. A. Azim

In modern textile industry, Tissue online Automatic Inspection (TAI) is becoming an attractive alternative to Human Vision Inspection (HVI). HVI needs a high level of attention nevertheless leading to low performance in terms of tissue inspection. Based on the co-occurrence matrix and its statistical features, as an approach for defects textile identification in the digital image, TAI can poten...

2011
Gabby B Joseph Thomas Baum Julio Carballido-Gamio Lorenzo Nardo Warapat Virayavanich Hamza Alizai John A Lynch Charles E McCulloch Sharmila Majumdar Thomas M Link

INTRODUCTION The goals of this study were (i) to compare the prevalence of focal knee abnormalities, the mean cartilage T2 relaxation time, and the spatial distribution of cartilage magnetic resonance (MR) T2 relaxation times between subjects with and without risk factors for Osteoarthritis (OA), (ii) to determine the relationship between MR cartilage T2 parameters, age and cartilage morphology...

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