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Texture classification

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https://www.readbyqxmd.com/read/28103556/steerable-wavelet-machines-swm-learning-moving-frames-for-texture-classification
#1
Adrien Depeursinge, Zsuzsanna Puspoki, John Paul Ward, Michael Unser
We present texture operators encoding classspecific local organizations of image directions (LOID) in a rotation-invariant fashion. The LOIDs are key for visual understanding, and are at the origin of the success of the popular approaches such as local binary patterns (LBP) and the scaleinvariant feature transform (SIFT). Whereas LBPs and SIFT yield handcrafted image representations, we propose to learn dataspecific representations of the LOIDs in a rotation-invariant fashion. The image operators are based on steerable circular harmonic wavelets (CHW), offering a rich and yet compact initial representation for characterizing natural textures...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28074741/efficiency-of-rosemary-and-basil-essential-oils-on-the-shelf-life-extension-of-atlantic-mackerel-scomber-scombrus-fillets-stored-at-2%C3%A2-c
#2
Romdhane Karoui, Abdo Hassoun
The objective of the present study was to evaluate the impact of rosemary and basil essential oils (EOs) on the qualityof Atlantic mackerel fillets stored at 2°C up to 15 days. Atlantic mackerel (<em>Scomber scombrus</em>) fillets were periodically evaluated to assess their textural, color, physicochemical, and spectral characteristics. The results indicated that rosemary and basil treatments were effective for inhibiting the formation of total volatile basic nitrogen (TVB-N) and lipid oxidation products during storage...
January 11, 2017: Journal of AOAC International
https://www.readbyqxmd.com/read/28071797/classification-and-characterization-of-japanese-consumers-beef-preferences-by-external-preference-mapping
#3
Keisuke Sasaki, Motoki Ooi, Naoto Nagura, Michiyo Motoyama, Takumi Narita, Mika Oe, Ikuyo Nakajima, Tatsuro Hagi, Koichi Ojima, Miho Kobayashi, Masaru Nomura, Susumu Muroya, Takeshi Hayashi, Kyoko Akama, Akira Fujikawa, Hironao Hokiyama, Kuniyuki Kobayashi, Takanori Nishimura
BACKGROUND: Over the past few decades, beef producers in Japan have improved marbling in their beef products. It was recently reported that marbling is not well correlated with palatability as rated by Japanese consumers. Here we sought to identify the consumer segments in Japanese that prefer sensory characteristics of beef other than high marbling. RESULTS: Three Wagyu beef, one Holstein beef, and two lean imported beef longissimus samples were subjected to a descriptive sensory test, physicochemical analysis, and consumer (n = 307) preference test...
January 10, 2017: Journal of the Science of Food and Agriculture
https://www.readbyqxmd.com/read/28066898/a-quantitative-symmetry-based-analysis-of-hyperacute-ischemic-stroke-lesions-in-noncontrast-computed-tomography
#4
Roman Peter, Panagiotis Korfiatis, Daniel Blezek, A Oscar Beitia, Irena Stepan-Buksakowska, Daniel Horinek, Kelly D Flemming, Bradley J Erickson
PURPOSE: Early identification of ischemic stroke plays a significant role in treatment and potential recovery of damaged brain tissue. In noncontrast CT (ncCT), the differences between ischemic changes and healthy tissue are usually very subtle during the hyperacute phase (< 8 h from the stroke onset). Therefore, visual comparison of both hemispheres is an important step in clinical assessment. A quantitative symmetry-based analysis of texture features of ischemic lesions in noncontrast CT images may provide an important information for differentiation of ischemic and healthy brain tissue in this phase...
January 2017: Medical Physics
https://www.readbyqxmd.com/read/28048226/su-f-r-35-repeatability-of-texture-features-in-t1-and-t2-weighted-mr-images
#5
R Mahon, E Weiss, J Ford, K Karki, G Hugo
PURPOSE: To evaluate repeatability of lung tumor texture features from inspiration/expiration MR image pairs for potential use in patient specific care models and applications. Repeatability is a desirable and necessary characteristic of features included in such models. METHODS: T1-weighted Volumetric Interpolation Breath-Hold Examination (VIBE) and/or T2-weighted MRI scans were acquired for 15 patients with non-small cell lung cancer before and during radiotherapy for a total of 32 and 34 same session inspiration-expiration breath-hold image pairs respectively...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047742/su-f-r-17-advancing-glioblastoma-multiforme-gbm-recurrence-detection-with-mri-image-texture-feature-extraction-and-machine-learning
#6
V Yu, D Ruan, D Nguyen, T Kaprealian, R Chin, K Sheng
PURPOSE: To test the potential of early Glioblastoma Multiforme (GBM) recurrence detection utilizing image texture pattern analysis in serial MR images post primary treatment intervention. METHODS: MR image-sets of six time points prior to the confirmed recurrence diagnosis of a GBM patient were included in this study, with each time point containing T1 pre-contrast, T1 post-contrast, T2-Flair, and T2-TSE images. Eight Gray-level co-occurrence matrix (GLCM) texture features including Contrast, Correlation, Dissimilarity, Energy, Entropy, Homogeneity, Sum-Average, and Variance were calculated from all images, resulting in a total of 32 features at each time point...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047590/su-f-r-02-imaging-genomics-for-predicting-gbm-molecular-subclasses-and-survival
#7
F Mahmoudi, L Poisson, H Bagher-Ebadian, M Nazem-Zadeh, H Soltanian-Zadeh
PURPOSE: Glioblastoma (GBM) is the most common and fatal primary intracranial neoplasm. GBM is categorized into five sub-classes (classical, G-CIMP, mesenchymal, proneural and neural) that can only be determined by an invasive brain biopsy followed by RNA and DNA methylation profiling. The goal of this study is to develop imaging features extracted from conventional MRI scans and an ensemble-classification method as a potential noninvasive method to predict the five molecular sub-classes and 12-month survival status...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046973/su-f-r-14-pet-based-radiomics-to-predict-outcomes-in-patients-with-hodgkin-lymphoma
#8
J Lee, M Aristophanous, M Akhtari, S Milgrom, D Bouthaina, C Pinnix, S Narang, A Rao, L Court, G Smith
PURPOSE: To identify PET-based radiomics features associated with high refractory/relapsed disease risk for Hodgkin lymphoma patients. METHODS: A total of 251 Hodgkin lymphoma patients including 19 primary refractory and 9 relapsed patients were investigated. All patients underwent an initial pre-treatment diagnostic FDG PET/CT scan. All cancerous lymph node regions (ROIs) were delineated by an experienced physician based on thresholding each volume of disease in the anatomical regions to SUV>2...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046940/su-f-r-03-classification-of-glioblastoma-multiforme-molecular-subtypes-using-three-dimensional-multi-modal-mr-imaging-features
#9
M Mulvey, S Muhyadeen, U Sinha
PURPOSE: Positive patient outcomes with the use of aggressive concurrent chemoradiotherapy have been shown for classical and mesenchymal glioblastoma multiformae (GBM) subtypes, while not having the same positive effect for patients with neural and proneural subtypes. Quantitative MR Imaging features from multimodal MRI have been recently explored for GBM subtype classification with some promising results. We have integrated 3D textural and moment invariant features to investigate if these will strengthen the association between glioblastoma MR image features and genomic markers...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28042845/overall-quality-of-fruits-and-vegetables-products-affected-by-the-drying-processes-with-the-assistance-of-vacuum-microwaves
#10
REVIEW
Adam Figiel, Anna Michalska
The seasonality of fruits and vegetables makes it impossible to consume and use them throughout the year, thus numerous processing efforts have been made to offer an alternative to their fresh consumption and application. To prolong their availability on the market, drying has received special attention as currently this method is considered one of the most common ways for obtaining food and pharmaceutical products from natural sources. This paper demonstrates the weakness of common drying methods applied for fruits and vegetables and the possible ways to improve the quality using different drying techniques or their combination with an emphasis on the microwave energy...
December 30, 2016: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28003793/visual-semantic-based-3d-video-retrieval-system-using-hdfs
#11
C Ranjith Kumar, S Suguna
This paper brings out a neoteric frame of reference for visual semantic based 3d video search and retrieval applications. Newfangled 3D retrieval application spotlight on shape analysis like object matching, classification and retrieval not only sticking up entirely with video retrieval. In this ambit, we delve into 3D-CBVR (Content Based Video Retrieval) concept for the first time. For this purpose, we intent to hitch on BOVW and Mapreduce in 3D framework. Instead of conventional shape based local descriptors, we tried to coalesce shape, color and texture for feature extraction...
August 2016: Data Mining and Knowledge Discovery
https://www.readbyqxmd.com/read/28002513/a-computer-aided-diagnostic-system-for-intestinal-polyps-identified-by-wireless-capsule-endoscopy
#12
Adriana Florentina Constantinescu, Mihaela Ionescu, Vlad Florin Iovănescu, Marius Eugen Ciurea, Alin Gabriel Ionescu, Costin Teodor Streba, Marius Gabriel Bunescu, Ion Rogoveanu, Cristin Constantin Vere
Small bowel polyps present in images acquired by wireless capsule endoscopy are more difficult to detect using computer-aided diagnostic (CAD) systems. We aimed to identify the optimum morphological characteristics that best describe a polyp and convert them into feature vectors used for automatic detection of polyps present in images acquired by wireless capsule endoscopy (WCE). We prospectively included 54 patients with clinical indications for WCE. Initially, physicians analyzed all images acquired, identifying the frames that contained small bowel polyps...
2016: Romanian Journal of Morphology and Embryology, Revue Roumaine de Morphologie et Embryologie
https://www.readbyqxmd.com/read/27997380/developing-a-new-case-based-computer-aided-detection-scheme-and-an-adaptive-cueing-method-to-improve-performance-in-detecting-mammographic-lesions
#13
Maxine Tan, Faranak Aghaei, Yunzhi Wang, Bin Zheng
The purpose of this study is to evaluate a new method to improve performance of computer-aided detection (CAD) schemes of screening mammograms with two approaches. In the first approach, we developed a new case based CAD scheme using a set of optimally selected global mammographic density, texture, spiculation, and structural similarity features computed from all four full-field digital mammography images of the craniocaudal (CC) and mediolateral oblique (MLO) views by using a modified fast and accurate sequential floating forward selection feature selection algorithm...
January 21, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/27983669/towards-automated-large-scale-3d-phenotyping-of-vineyards-under-field-conditions
#14
Johann Christian Rose, Anna Kicherer, Markus Wieland, Lasse Klingbeil, Reinhard Töpfer, Heiner Kuhlmann
In viticulture, phenotypic data are traditionally collected directly in the field via visual and manual means by an experienced person. This approach is time consuming, subjective and prone to human errors. In recent years, research therefore has focused strongly on developing automated and non-invasive sensor-based methods to increase data acquisition speed, enhance measurement accuracy and objectivity and to reduce labor costs. While many 2D methods based on image processing have been proposed for field phenotyping, only a few 3D solutions are found in the literature...
December 15, 2016: Sensors
https://www.readbyqxmd.com/read/27975146/t2-weighted-mri-derived-textural-features-reflect-prostate-cancer-aggressiveness-preliminary-results
#15
Gabriel Nketiah, Mattijs Elschot, Eugene Kim, Jose R Teruel, Tom W Scheenen, Tone F Bathen, Kirsten M Selnæs
PURPOSE: To evaluate the diagnostic relevance of T2-weighted (T2W) MRI-derived textural features relative to quantitative physiological parameters derived from diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) MRI in Gleason score (GS) 3+4 and 4+3 prostate cancers. MATERIALS AND METHODS: 3T multiparametric-MRI was performed on 23 prostate cancer patients prior to prostatectomy. Textural features [angular second moment (ASM), contrast, correlation, entropy], apparent diffusion coefficient (ADC), and DCE pharmacokinetic parameters (K(trans) and Ve) were calculated from index tumours delineated on the T2W, DW, and DCE images, respectively...
December 14, 2016: European Radiology
https://www.readbyqxmd.com/read/27959830/multi-source-transfer-learning-with-convolutional-neural-networks-for-lung-pattern-analysis
#16
Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula Mougiakakou
Early diagnosis of interstitial lung diseases is crucial for their treatment, but even experienced physicians find it difficult, as their clinical manifestations are similar. In order to assist with the diagnosis, computer-aided diagnosis (CAD) systems have been developed. These commonly rely on a fixed scale classifier that scans CT images, recognizes textural lung patterns and generates a map of pathologies. In a previous study, we proposed a method for classifying lung tissue patterns using a deep convolutional neural network (CNN), with an architecture designed for the specific problem...
December 7, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27958529/high-throughput-time-stretch-imaging-flow-cytometry-for-multi-class-classification-of-phytoplankton
#17
Queenie T K Lai, Kelvin C M Lee, Anson H L Tang, Kenneth K Y Wong, Hayden K H So, Kevin K Tsia
Time-stretch imaging has been regarded as an attractive technique for high-throughput imaging flow cytometry primarily owing to its real-time, continuous ultrafast operation. Nevertheless, two key challenges remain: (1) sufficiently high time-stretch image resolution and contrast is needed for visualizing sub-cellular complexity of single cells, and (2) the ability to unravel the heterogeneity and complexity of the highly diverse population of cells - a central problem of single-cell analysis in life sciences - is required...
December 12, 2016: Optics Express
https://www.readbyqxmd.com/read/27958408/multi-stage-classification-method-oriented-to-aerial-image-based-on-low-rank-recovery-and-multi-feature-fusion-sparse-representation
#18
Xu Ma, Yongmei Cheng, Shuai Hao
Automatic classification of terrain surfaces from an aerial image is essential for an autonomous unmanned aerial vehicle (UAV) landing at an unprepared site by using vision. Diverse terrain surfaces may show similar spectral properties due to the illumination and noise that easily cause poor classification performance. To address this issue, a multi-stage classification algorithm based on low-rank recovery and multi-feature fusion sparse representation is proposed. First, color moments and Gabor texture feature are extracted from training data and stacked as column vectors of a dictionary...
December 10, 2016: Applied Optics
https://www.readbyqxmd.com/read/27957434/a-bio-medical-waste-identification-and-classification-algorithm-using-mltrp-and-rvm
#19
Aravindan Achuthan, Vasumathi Ayyallu Madangopal
BACKGROUND: We aimed to extract the histogram features for text analysis and, to classify the types of Bio Medical Waste (BMW) for garbage disposal and management. METHODS: The given BMW was preprocessed by using the median filtering technique that efficiently reduced the noise in the image. After that, the histogram features of the filtered image were extracted with the help of proposed Modified Local Tetra Pattern (MLTrP) technique. Finally, the Relevance Vector Machine (RVM) was used to classify the BMW into human body parts, plastics, cotton and liquids...
October 2016: Iranian Journal of Public Health
https://www.readbyqxmd.com/read/27917577/inter-and-intra-specific-diversity-in-cistus-l-cistaceae-seeds-analyzed-by-computer-vision-techniques
#20
Marisol Lo Bianco, Oscar Grillo, Eva Cañadas, Gianfranco Venora, Gianluigi Bacchetta
This work aims to discriminate among different species of the genus Cistus, using seeds parameters and following the scientific plant names included as accepted in The Plant List. Also the intra-specific phenotypic differentiation of C. creticus, through the comparison of three subspecies (C. creticus subsp. creticus, C. c. subsp. eriocephalus and C. c. subsp. corsicus) and the inter-population variability among five C. creticus subsp. eriocephalus populations, were evaluated. Seed mean weight and 137 morpho-colorimetric quantitative variables, describing shape, size, color and textural seed traits, were measured using image analysis techniques...
December 5, 2016: Plant Biology
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