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Anne Humeau-heurtier - One of the best experts on this subject based on the ideXlab platform.
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Texture feature Extraction Methods: A survey
IEEE Access, 2019Co-Authors: Anne Humeau-heurtierAbstract:Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing) to segmentation (e.g., in biomedical imaging), passing through image synthesis or pattern recognition (e.g., for image inpainting). For each of these image processing procedures, first, it is necessary to extract—from raw images—meaningful features that describe the texture properties. Various feature Extraction Methods have been proposed in the last decades. Each of them has its advantages and limitations: performances of some of them are not modified by translation, rotation, affine, and perspective transform; others have a low computational complexity; others, again, are easy to implement; and so on. This paper provides a comprehensive survey of the texture feature Extraction Methods. The latter are categorized into seven classes: statistical approaches, structural approaches, transform-based approaches, model-based approaches, graph-based approaches, learning-based approaches, and entropy-based approaches. For each method in these seven classes, we present the concept, the advantages, and the drawbacks and give examples of application. This survey allows us to identify two classes of Methods that, particularly, deserve attention in the future, as their performances seem interesting, but their thorough study is not performed yet.
Vipen K. Sawhney - One of the best experts on this subject based on the ideXlab platform.
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Compatibility of plant protein Extraction Methods with mass spectrometry for proteome analysis
Plant Science, 2008Co-Authors: Inder S. Sheoran, Douglas J H Olson, Andrew R S Ross, Vipen K. SawhneyAbstract:Abstract Different protein Extraction Methods have been developed for plant proteome analysis but their compatibility with mass spectrometry has rarely been tested. We evaluated four protein Extraction Methods, i.e., trichloroacetic acid (TCA)–acetone, phenol, direct iso-electric focusing (IEF) buffer, and Tris–HCl buffer, using tomato pollen for proteome analysis. The data presented show that the TCA–acetone and phenol protein Extraction Methods are superior to the other two tested Methods for tomato pollen proteome analysis, in terms of two-dimensional gel electrophoresis (2-DE) gel separation, mass spectrometric analysis, and identification of proteins by peptide mass fingerprinting (PMF). These results highlight the importance of plant protein Extraction method for subsequent MS analysis and protein identification.
J.p.h.u. Jayaneththi - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Optimum Available Phosphorous Extraction Methods for Reddish Brown Earth Soil
Proceedings of International Forestry and Environment Symposium, 2015Co-Authors: S.n.b.g.l.d. Kumara, D.m.s. Duminda, J.p.h.u. JayaneththiAbstract:Several Extraction Methods are used to determine plant available Phosphorus (P) that affect for growth and yield of plants. This study was conducted to evaluate the different available P Extraction Methods for reddish brown earth (RBE) soil in dry zone of Sri Lanka. The experiment was conducted as a randomised complete block design (RCBD) with four replicates at Kahatagasdigiliya in Anuradhapura district during Maha (2013/2014) season. Seven Extraction Methods, i.e., Olsen‟s, Bray 1, Borax, Mehlich III, Modified Kelowna, ammonium chloride and distilled water were tested. Soil samples were collected at the tasseling stage of maize plants (Zea mays L.) treated with four fertiliser rates: 0 (T1), 20 (T2), 30 (T3) and 40 (T4) kg of P ha-1. Soil samples were analysed for pH, available P and total P apart the initial chemical characterisation. The effect of Extraction Methods for soil available P and the P recovery, interactions among the P levels with different Extraction Methods were evaluated. Available P Extraction and P recovery using Modified Kelowna method was significantly greater than other Methods (p 0.05) in available P determination. The Extraction Methods and fertiliser levels were significantly different (p
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estimation of optimum available phosphorous Extraction Methods for reddish brown earth soil
Proceedings of International Forestry and Environment Symposium, 2015Co-Authors: S.n.b.g.l.d. Kumara, D.m.s. Duminda, J.p.h.u. JayaneththiAbstract:Several Extraction Methods are used to determine plant available Phosphorus (P) that affect for growth and yield of plants. This study was conducted to evaluate the different available P Extraction Methods for reddish brown earth (RBE) soil in dry zone of Sri Lanka. The experiment was conducted as a randomised complete block design (RCBD) with four replicates at Kahatagasdigiliya in Anuradhapura district during Maha (2013/2014) season. Seven Extraction Methods, i.e., Olsen‟s, Bray 1, Borax, Mehlich III, Modified Kelowna, ammonium chloride and distilled water were tested. Soil samples were collected at the tasseling stage of maize plants (Zea mays L.) treated with four fertiliser rates: 0 (T1), 20 (T2), 30 (T3) and 40 (T4) kg of P ha-1. Soil samples were analysed for pH, available P and total P apart the initial chemical characterisation. The effect of Extraction Methods for soil available P and the P recovery, interactions among the P levels with different Extraction Methods were evaluated. Available P Extraction and P recovery using Modified Kelowna method was significantly greater than other Methods (p 0.05) in available P determination. The Extraction Methods and fertiliser levels were significantly different (p<0.05) with soil available P. The P Extraction in T4 was comparatively higher than other Methods except distilled water Extraction. Modified Kelowna method was most appropriate in available P Extraction under experimental conditions in RBE soil. Keywords: Phosphorus, P Extraction Methods, P recovery, RBE
Torfinn Taxt - One of the best experts on this subject based on the ideXlab platform.
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FEATURE Extraction Methods FOR CHARACTER RECOGNITION--A SURVEY
Pattern Recognition, 1996Co-Authors: O.d. Trier, Anil K. Jain, Torfinn TaxtAbstract:This paper presents an overview of feature Extraction Methods for off-line recognition of segmented (isolated) characters. Selection of a feature Extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature Extraction Methods are designed for different representations of the characters, such as solid binary characters, character contours, skeletons (thinned characters) or gray-level subimages of each individual character. The feature Extraction Methods are discussed in terms of invariance properties, reconstructability and expected distortions and variability of the characters. The problem of choosing the appropriate feature Extraction method for a given application is also discussed. When a few promising feature Extraction Methods have been identified, they need to be evaluated experimentally to find the best method for the given application.
Chen You-sheng - One of the best experts on this subject based on the ideXlab platform.
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Comparison of Different Extraction Methods for Radix Salvia Miltiorrhiza
Chinese Journal of Information on Traditional Chinese Medicine, 2007Co-Authors: Chen You-shengAbstract:Objective To study the best Extraction method for Radix Salvia Miltiorrhiza effective component. Methods Several Extraction Methods for Radix Salvia Miltiorrhiza (water decoction, alcohol reflux, ultrasonic Extraction and supercritical CO2 Extraction) were compared, to optimize the Extraction Methods by determined of Danshensu and Tanshinone IIA of Radix Salvia Miltiorrhiza. Results Supercritical CO2 Extraction had high content of effective component of Danshensu and Tanshinone IIA. Conclusion Supercritical CO2 Extraction was the best Extraction method for Radix Salvia Miltiorrhiza. This result would be an experimental proof for pre-processing the preparation of Radix Salvia Miltiorrhiza.
