keyword
MENU ▼
Read by QxMD icon Read
search

Texture classification

keyword
https://www.readbyqxmd.com/read/28644810/action-recognition-using-3d-histograms-of-texture-and-a-multi-class-boosting-classifier
#1
Baochang Zhangm, Yun Yangm, Chen Chen, Linlin Yang, Jungong Han, Ling Shao
Human action recognition is an important yet challenging task. This paper presents a low-cost descriptor called 3D Histograms of Texture (3DHoTs) to extract discriminant features from a sequence of depth maps. 3DHoTs are derived from projecting depth frames onto three orthogonal Cartesian planes, i.e., the frontal, side and top planes, and thus compactly characterize the salient information of a specific action, on which texture features are calculated to represent the action. Besides this fast feature descriptor, a new multi-class boosting classifier (MBC) is also proposed to efficiently exploit different kinds of features in a unified framework for action classification...
June 21, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28643092/application-of-ct-texture-analysis-in-predicting-histopathological-characteristics-of-gastric-cancers
#2
Shunli Liu, Song Liu, Changfeng Ji, Huanhuan Zheng, Xia Pan, Yujuan Zhang, Wenxian Guan, Ling Chen, Yue Guan, Weifeng Li, Jian He, Yun Ge, Zhengyang Zhou
OBJECTIVES: To explore the application of computed tomography (CT) texture analysis in predicting histopathological features of gastric cancers. METHODS: Preoperative contrast-enhanced CT images and postoperative histopathological features of 107 patients (82 men, 25 women) with gastric cancers were retrospectively reviewed. CT texture analysis generated: (1) mean attenuation, (2) standard deviation, (3) max frequency, (4) mode, (5) minimum attenuation, (6) maximum attenuation, (7) the fifth, 10th, 25th, 50th, 75th and 90th percentiles, and (8) entropy...
June 22, 2017: European Radiology
https://www.readbyqxmd.com/read/28643065/laparoscopic-distal-pancreatectomy-for-pancreatic-cancer-is-safe-and-effective
#3
Marita D Bauman, David G Becerra, E Molly Kilbane, Nicholas J Zyromski, C Max Schmidt, Henry A Pitt, Attila Nakeeb, Michael G House, Eugene P Ceppa
PURPOSE: To compare the short-term and oncologic outcomes of patients with pancreatic ductal adenocarcinoma (PDAC) undergoing laparoscopic distal pancreatectomy (LDP) and open distal pancreatectomy (ODP). METHODS: Consecutive cases of distal pancreatectomy (DP) (n = 422) were reviewed at a single high-volume institution over a 10-year period (2005-2014). Inclusion criteria consisted of any patient with PDAC by surgical pathology. Ninety-day outcomes were monitored through a prospectively maintained pancreatic resection database...
June 22, 2017: Surgical Endoscopy
https://www.readbyqxmd.com/read/28642480/haralick-texture-features-from-apparent-diffusion-coefficient-adc-mri-images-depend-on-imaging-and-pre-processing-parameters
#4
Patrik Brynolfsson, David Nilsson, Turid Torheim, Thomas Asklund, Camilla Thellenberg Karlsson, Johan Trygg, Tufve Nyholm, Anders Garpebring
In recent years, texture analysis of medical images has become increasingly popular in studies investigating diagnosis, classification and treatment response assessment of cancerous disease. Despite numerous applications in oncology and medical imaging in general, there is no consensus regarding texture analysis workflow, or reporting of parameter settings crucial for replication of results. The aim of this study was to assess how sensitive Haralick texture features of apparent diffusion coefficient (ADC) MR images are to changes in five parameters related to image acquisition and pre-processing: noise, resolution, how the ADC map is constructed, the choice of quantization method, and the number of gray levels in the quantized image...
June 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28640181/a-study-for-texture-feature-extraction-of-high-resolution-satellite-images-based-on-a-direction-measure-and-gray-level-co-occurrence-matrix-fusion-algorithm
#5
Xin Zhang, Jintian Cui, Weisheng Wang, Chao Lin
To address the problem of image texture feature extraction, a direction measure statistic that is based on the directionality of image texture is constructed, and a new method of texture feature extraction, which is based on the direction measure and a gray level co-occurrence matrix (GLCM) fusion algorithm, is proposed in this paper. This method applies the GLCM to extract the texture feature value of an image and integrates the weight factor that is introduced by the direction measure to obtain the final texture feature of an image...
June 22, 2017: Sensors
https://www.readbyqxmd.com/read/28630643/improved-classification-accuracy-of-powdery-mildew-infection-levels-of-wine-grapes-by-spatial-spectral-analysis-of-hyperspectral-images
#6
Uwe Knauer, Andrea Matros, Tijana Petrovic, Timothy Zanker, Eileen S Scott, Udo Seiffert
BACKGROUND: Hyperspectral imaging is an emerging means of assessing plant vitality, stress parameters, nutrition status, and diseases. Extraction of target values from the high-dimensional datasets either relies on pixel-wise processing of the full spectral information, appropriate selection of individual bands, or calculation of spectral indices. Limitations of such approaches are reduced classification accuracy, reduced robustness due to spatial variation of the spectral information across the surface of the objects measured as well as a loss of information intrinsic to band selection and use of spectral indices...
2017: Plant Methods
https://www.readbyqxmd.com/read/28629585/sensory-capability-of-young-middle-aged-and-elderly-irish-assessors-to-identify-beef-steaks-of-varying-texture
#7
Paula M Conroy, Maurice G O' Sullivan, Ruth M Hamill, Joseph P Kerry
This study assessed the capability of various Irish assessor age cohorts to identify beef steaks of varying texture. Varying steak textures Moderately Tough (MTH), Moderately Tender (MTR) and Tender (TR) were achieved by aging beef longissimus thoracis et lumborum (LTL) muscle for 2, 7 and 21days respectively. Warner Bratzler Shear Force (WBSF) was measured to standardise the samples. Sensory evaluation was carried using 428 participants; 18-30yrs (years) (n=143), 31-60yrs (n=80), 61-75yrs (n=99) and 76-85yrs old (n=106)...
May 28, 2017: Meat Science
https://www.readbyqxmd.com/read/28625065/physical-texturing-for-superhydrophobic-polymeric-surfaces-a-design-perspective
#8
Jing Yang Quek, Christopher L Magee, Hong Yee Low
Surface wetting on textured surface is classically explained by Cassie-Baxter or Wenzel's theories. However, in recent years, an increasing number of complex surface topographies with super-hydrophobic properties were achieved without prediction or simulation using these theories. One example is biomimetic surfaces. In many instances, theories were used to explain surface properties found in nature but have not led to or predicted the complex topographies. Although new wetting theories continue to emerge, there is not yet a set of design rules to guide the selection of surface topographies to achieve super-hydrophobicity...
June 18, 2017: Langmuir: the ACS Journal of Surfaces and Colloids
https://www.readbyqxmd.com/read/28624024/differentiation-between-acute-and-chronic-myocardial-infarction-by-means-of-texture-analysis-of-late-gadolinium-enhancement-and-cine-cardiac-magnetic-resonance-imaging
#9
Andrés Larroza, Andrzej Materka, María P López-Lereu, José V Monmeneu, Vicente Bodí, David Moratal
The purpose of this study was to differentiate acute from chronic myocardial infarction using machine learning techniques and texture features extracted from cardiac magnetic resonance imaging (MRI). The study group comprised 22 cases with acute myocardial infarction (AMI) and 22 cases with chronic myocardial infarction (CMI). Cine and late gadolinium enhancement (LGE) MRI were analyzed independently to differentiate AMI from CMI. A total of 279 texture features were extracted from predefined regions of interest (ROIs): the infarcted area on LGE MRI, and the entire myocardium on cine MRI...
July 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28623478/feature-fusion-for-lung-nodule-classification
#10
Amal A Farag, Asem Ali, Salwa Elshazly, Aly A Farag
PURPOSE: This article examines feature-based nodule description for the purpose of nodule classification in chest computed tomography scanning. METHODS: Three features based on (i) Gabor filter, (ii) multi-resolution local binary pattern (LBP) texture features and (iii) signed distance fused with LBP which generates a combinational shape and texture feature are utilized to provide feature descriptors of malignant and benign nodules and non-nodule regions of interest...
June 16, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28620400/comparing-pixel-and-object-based-approaches-to-map-an-understorey-invasive-shrub-in-tropical-mixed-forests
#11
Madhura Niphadkar, Harini Nagendra, Cristina Tarantino, Maria Adamo, Palma Blonda
The establishment of invasive alien species in varied habitats across the world is now recognized as a genuine threat to the preservation of biodiversity. Specifically, plant invasions in understory tropical forests are detrimental to the persistence of healthy ecosystems. Monitoring such invasions using Very High Resolution (VHR) satellite remote sensing has been shown to be valuable in designing management interventions for conservation of native habitats. Object-based classification methods are very helpful in identifying invasive plants in various habitats, by their inherent nature of imitating the ability of the human brain in pattern recognition...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28618828/pavement-type-and-wear-condition-classification-from-tire-cavity-acoustic-measurements-with-artificial-neural-networks
#12
Johannes Masino, Michael-Jan Foitzik, Michael Frey, Frank Gauterin
Tire road noise is the major contributor to traffic noise, which leads to general annoyance, speech interference, and sleep disturbances. Standardized methods to measure tire road noise are expensive, sophisticated to use, and they cannot be applied comprehensively. This paper presents a method to automatically classify different types of pavement and the wear condition to identify noisy road surfaces. The methods are based on spectra of time series data of the tire cavity sound, acquired under normal vehicle operation...
June 2017: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/28613932/nondestructive-quality-evaluation-of-agro-products-using-acoustic-vibration-methods-a-review
#13
Wen Zhang, Zhenzhen Lv, Shuangli Xiong
Quality evaluation of agro-products is quite important because it is the basis for growers, distributers and consumers. Various novel and emerging nondestructive methods were proposed for quality evaluation of agro-products. The acoustic vibration method is one of the major nondestructive methods for agro-products in pre- and postharvest research and industrial practice. Acoustic vibration characteristics of agro-products can be used for texture evaluation, prediction of optimum eating and harvest ripeness, ripeness classification and defect detection...
June 14, 2017: Critical Reviews in Food Science and Nutrition
https://www.readbyqxmd.com/read/28613168/convolution-neural-networks-with-two-pathways-for-image-style-recognition
#14
Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu
Automatic recognition of an image's style is important for many applications including artwork analysis, photo organization and image retrieval. Traditional convolution neural network (CNN) approach uses only object features for image style recognition. This approach may not be optimal because the same object in two images may have different styles. We propose a CNN architecture with two pathways extracting object features and texture features, respectively. The object pathway represents the standard CNN architecture and the texture pathway intermixes the object pathway by outputting the gram matrices of intermediate features in the object pathway...
June 9, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28611806/opportunities-and-constraints-in-characterizing-landscape-distribution-of-an-invasive-grass-from-very-high-resolution-multi-spectral-imagery
#15
Iryna Dronova, Erica N Spotswood, Katharine N Suding
Understanding spatial distributions of invasive plant species at early infestation stages is critical for assessing the dynamics and underlying factors of invasions. Recent progress in very high resolution remote sensing is facilitating this task by providing high spatial detail over whole-site extents that are prohibitive to comprehensive ground surveys. This study assessed the opportunities and constraints to characterize landscape distribution of the invasive grass medusahead (Elymus caput-medusae) in a ∼36...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28592911/marginal-shape-deep-learning-applications-to-pediatric-lung-field-segmentation
#16
Awais Mansoor, Juan J Cerrolaza, Geovanny Perez, Elijah Biggs, Gustavo Nino, Marius George Linguraru
Representation learning through deep learning (DL) architecture has shown tremendous potential for identification, localization, and texture classification in various medical imaging modalities. However, DL applications to segmentation of objects especially to deformable objects are rather limited and mostly restricted to pixel classification. In this work, we propose marginal shape deep learning (MaShDL), a framework that extends the application of DL to deformable shape segmentation by using deep classifiers to estimate the shape parameters...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28592331/thyroid-nodule-recognition-in-computed-tomography-using-first-order-statistics
#17
Wenxian Peng, Chenbin Liu, Shunren Xia, Dangdang Shao, Yihong Chen, Rui Liu, Zhiping Zhang
BACKGROUND: Computed tomography (CT) is one of the popular tools for early detection of thyroid nodule. The pixel intensity of thyroid in CT image is very important information to distinguish nodule from normal thyroid tissue. The pixel intensity in normal thyroid tissues is homogeneous and smooth. In the benign or malignant nodules, the pixel intensity is heterogeneous. Several studies have shown that the first order features in ultrasound image can be used as imaging biomarkers in nodule recognition...
June 2, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28587066/mapping-winter-wheat-with-multi-temporal-sar-and-optical-images-in-an-urban-agricultural-region
#18
Tao Zhou, Jianjun Pan, Peiyu Zhang, Shanbao Wei, Tao Han
Winter wheat is the second largest food crop in China. It is important to obtain reliable winter wheat acreage to guarantee the food security for the most populous country in the world. This paper focuses on assessing the feasibility of in-season winter wheat mapping and investigating potential classification improvement by using SAR (Synthetic Aperture Radar) images, optical images, and the integration of both types of data in urban agricultural regions with complex planting structures in Southern China. Both SAR (Sentinel-1A) and optical (Landsat-8) data were acquired, and classification using different combinations of Sentinel-1A-derived information and optical images was performed using a support vector machine (SVM) and a random forest (RF) method...
May 25, 2017: Sensors
https://www.readbyqxmd.com/read/28574347/anisotropic-discrete-dual-tree-wavelet-transform-for-improved-classification-of-trabecular-bone
#19
Hind Oulhaj, Mohammed Rziza, Aouatif Amine, Hechmi Toumi, Eric Lespessailles, Mohammed El Hassouni, Rachid Jennane
This paper deals with a new Anisotropic Discrete Dual-Tree Wavelet Transform (ADDTWT) to characterize the anisotropy of bone texture. More specifically, we propose to extend the conventional Discrete Dual-Tree Wavelet Transform (DDTWT) by using the anisotropic basis functions associated with the Hyperbolic Wavelet Transform (HWT) instead of isotropic spectrum supports. A texture classification framework is adopted to assess the performance of the proposed transform. The Generalized Gaussian Distribution (GGD) is used to model the distribution of the sub-band coefficients...
May 26, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28558329/risk-stratification-of-women-with-false-positive-test-results-in-mammography-screening-based-on-mammographic-morphology-and-density-a-case-control-study
#20
Rikke Rass Winkel, My von Euler-Chelpin, Elsebeth Lynge, Pengfei Diao, Martin Lillholm, Michiel Kallenberg, Julie Lyng Forman, Michael Bachmann Nielsen, Wei Yao Uldall, Mads Nielsen, Ilse Vejborg
The long-term risk of breast cancer is increased in women with false-positive (FP) mammography screening results. We investigated whether mammographic morphology and/or density can be used to stratify these women according to their risk of future breast cancer METHODS: We undertook a case-control study nested in the population-based screening programme in Copenhagen, Denmark. We included 288 cases and 288 controls based on a cohort of 4743 women with at least one FP-test result in 1991-2005 who were followed up until 17 April 2008...
May 27, 2017: Cancer Epidemiology
keyword
keyword
90848
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"