This paper deals with an optimization design method for the Gabor filters based on the analysis of an iris texture model. By means of analyzing the properties of an iris texture image, the energy distribution regulari...This paper deals with an optimization design method for the Gabor filters based on the analysis of an iris texture model. By means of analyzing the properties of an iris texture image, the energy distribution regularity of the iris texture image measured by the average power spectrum density is exploited, and the theoretical ranges of the efficient valued frequency and orientation parameters can also be deduced. The analysis shows that the energy distribution of the iris texture is generally centralized around lower frequencies in the spatial frequency domain. Accordingly, an iterative algorithm is designed to optimize the Gabor parameter field. The experimental results indicate the validity of the theory and efficiency of the algorithm.展开更多
[Objectives] This study was carried out to determine texture parameters for texture profile analysis （TPA）, and optimize the texture determination of ‘Yali’ by texture analyzer.[Methods] The traditional varieties ...[Objectives] This study was carried out to determine texture parameters for texture profile analysis （TPA）, and optimize the texture determination of ‘Yali’ by texture analyzer.[Methods] The traditional varieties of ‘Yali’ were taken as the materials, and texture parameters were determined at different compression rates and deformations at target.[Results] In the process of the TPA, the deformation at target had an extremely significant influence on 8 TPA texture parameters, namely, the hardness, cohesiveness, springiness, adhesiveness, gumminess, resilience, fracturability, and chewiness （ P ≤0.01）, while the compression rate had significant influence on the hardness and gumminess （ P ≤0.05）, had an extremely significant influence on fracturability （ P ≤0.01）, and had no significant influence on other 5 TPA parameters.[Conclusions] Taking the compression rate of 1 mm/s and 20% deformation at target as the experimental conditions for TPA could avoid the impact load of high speed on the tissue and objectively reflect the textural characteristics of ‘Yali’ pulp tissue.展开更多
文摘This paper deals with an optimization design method for the Gabor filters based on the analysis of an iris texture model. By means of analyzing the properties of an iris texture image, the energy distribution regularity of the iris texture image measured by the average power spectrum density is exploited, and the theoretical ranges of the efficient valued frequency and orientation parameters can also be deduced. The analysis shows that the energy distribution of the iris texture is generally centralized around lower frequencies in the spatial frequency domain. Accordingly, an iterative algorithm is designed to optimize the Gabor parameter field. The experimental results indicate the validity of the theory and efficiency of the algorithm.
基金Supported by Special Project of Hebei Provincial Department of Finance(F18R1908)Special Fund for Basic Scientific Research Project in Hebei Academy of Agriculture and Forestry Sciences(A2015020103)The Earmarked Fund for China Agriculture Research System(CARS-28)
文摘[Objectives] This study was carried out to determine texture parameters for texture profile analysis （TPA）, and optimize the texture determination of ‘Yali’ by texture analyzer.[Methods] The traditional varieties of ‘Yali’ were taken as the materials, and texture parameters were determined at different compression rates and deformations at target.[Results] In the process of the TPA, the deformation at target had an extremely significant influence on 8 TPA texture parameters, namely, the hardness, cohesiveness, springiness, adhesiveness, gumminess, resilience, fracturability, and chewiness （ P ≤0.01）, while the compression rate had significant influence on the hardness and gumminess （ P ≤0.05）, had an extremely significant influence on fracturability （ P ≤0.01）, and had no significant influence on other 5 TPA parameters.[Conclusions] Taking the compression rate of 1 mm/s and 20% deformation at target as the experimental conditions for TPA could avoid the impact load of high speed on the tissue and objectively reflect the textural characteristics of ‘Yali’ pulp tissue.
文摘该研究通过单因素试验探究不同测试条件(压缩比、测试速度、停留时间)对麻糬凝胶质构特性参数测定结果的影响,采用全质构分析(texture profile analysis,TPA)测试模式得到硬度、黏性、回复性、弹性、咀嚼性、胶着性和内聚性指标,并采用变异系数(coefficient of variation,CV)和方差分析(analysis of variance,ANOVA)方法对质构参数测定结果进行分析,结果表明:压缩比对硬度、黏性、弹性、咀嚼性、胶着性、内聚性和回复性有显著性影响;测试速度对黏性、硬度、弹性、咀嚼性、胶着性、内聚性及回复性均有显著性影响;停留时间对回复性、咀嚼性、胶着性、内聚性和弹性有显著性影响。通过变异系数对比分析选择适宜的质构测试条件为压缩比40%、测试速度1.0 mm/s、停留时间3 s;并对单因素优化得到的测定条件进行重复试验验证,发现质构测定结果的变异系数均小于5%,说明该测试条件下测定结果稳定性较好,可较好地反映麻糬凝胶质地特征,适用于麻糬凝胶类样品的质构测试。
