In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruc...In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruction with adaptive transmittance and atmospheric light correction was proposed.Firstly,the algorithm used the open operation under morphological reconstruction to replace the minimum filter operation in the dark channel,and used the morphological edge to set the scale of the open operation structure elements,and constructed a multi-scale open operation fusion dark channel.After morphological noise reduction,the exact initial transmittance was obtained.According to the relationship between brightness and saturation difference and transmittance,an adaptive transmittance correction model was fitted with Gaussian function to correct the initial transmittance of the sky fog map.Then the local atmospheric light was improved according to the image brightness information and morphology closure operation.Finally,the proposed algorithm was combined with the atmospheric scattering model to obtain an accurate fog free image.The experimental results showed that the proposed algorithm was suitable for fog image restoration under various scenes,the restoration effect was good,and the brightness was suitable.展开更多
The original and postnatal scale patterns of guard hairs were compared. The comparisons illustrate that acquired morphological changes take place in the scales on the coarse section of guard hairs. Scales on this part...The original and postnatal scale patterns of guard hairs were compared. The comparisons illustrate that acquired morphological changes take place in the scales on the coarse section of guard hairs. Scales on this part changes from regular smooth to irregular wave. The primary reason would be friction. Scales on the lower part of guard hairs are thick and strong to bear friction. Additionally, they are berried in the bottom layer of pelage where friction is avoided. Scales on the coarse section are thin, broad, dense and overlap, and exposed in the environment as a cover of pelage. So friction always happen on them. Factors which enhance coefficient of friction and weaken keratin bonds are combined to damage hair scales. The results suggest that regular smooth and irregular wave are actually the same type exhibiting the same origin morphological characters, so they should be counted together in the species identification.展开更多
提出一种基于形态特征的月季单株植株建模及大规模园林场景模拟方法。精确采集月季植株各主要器官的真实形态数据;对这些数据特征进行深入分析,获取诸如黄金分割等形态特性;以这些特性为基础建立单株植株主枝与各层分枝间、枝与叶间的...提出一种基于形态特征的月季单株植株建模及大规模园林场景模拟方法。精确采集月季植株各主要器官的真实形态数据;对这些数据特征进行深入分析,获取诸如黄金分割等形态特性;以这些特性为基础建立单株植株主枝与各层分枝间、枝与叶间的拓扑关系,同时模拟茎、叶、花、刺等各器官以生成完整的植株;通过基于角策略的Poisson Disk Tiles分布模型生成大规模园林月季场景。实验结果表明:算法能够真实、有效地生成多种不同形态的单株月季植株并模拟大规模园林月季场景,具有广泛应用价值和广阔发展前景。展开更多
In this paper, we proposed a registration method by combining the morphological component analysis(MCA) and scale-invariant feature transform(SIFT) algorithm. This method uses the perception dictionaries,and combines ...In this paper, we proposed a registration method by combining the morphological component analysis(MCA) and scale-invariant feature transform(SIFT) algorithm. This method uses the perception dictionaries,and combines the Basis-Pursuit algorithm and the Total-Variation regularization scheme to extract the cartoon part containing basic geometrical information from the original image, and is stable and unsusceptible to noise interference. Then a smaller number of the distinctive key points will be obtained by using the SIFT algorithm based on the cartoon part of the original image. Matching the key points by the constrained Euclidean distance,we will obtain a more correct and robust matching result. The experimental results show that the geometrical transform parameters inferred by the matched key points based on MCA+SIFT registration method are more exact than the ones based on the direct SIFT algorithm.展开更多
基金supported by National Natural Science Foundation of China(No.61561030)College Industry Support Plan Project of Gansu Provincial Department of Education(No.2021CYZC-04)Educational Reform Fund of Lanzhou Jiaotong University(No.JG201928)。
文摘In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruction with adaptive transmittance and atmospheric light correction was proposed.Firstly,the algorithm used the open operation under morphological reconstruction to replace the minimum filter operation in the dark channel,and used the morphological edge to set the scale of the open operation structure elements,and constructed a multi-scale open operation fusion dark channel.After morphological noise reduction,the exact initial transmittance was obtained.According to the relationship between brightness and saturation difference and transmittance,an adaptive transmittance correction model was fitted with Gaussian function to correct the initial transmittance of the sky fog map.Then the local atmospheric light was improved according to the image brightness information and morphology closure operation.Finally,the proposed algorithm was combined with the atmospheric scattering model to obtain an accurate fog free image.The experimental results showed that the proposed algorithm was suitable for fog image restoration under various scenes,the restoration effect was good,and the brightness was suitable.
文摘The original and postnatal scale patterns of guard hairs were compared. The comparisons illustrate that acquired morphological changes take place in the scales on the coarse section of guard hairs. Scales on this part changes from regular smooth to irregular wave. The primary reason would be friction. Scales on the lower part of guard hairs are thick and strong to bear friction. Additionally, they are berried in the bottom layer of pelage where friction is avoided. Scales on the coarse section are thin, broad, dense and overlap, and exposed in the environment as a cover of pelage. So friction always happen on them. Factors which enhance coefficient of friction and weaken keratin bonds are combined to damage hair scales. The results suggest that regular smooth and irregular wave are actually the same type exhibiting the same origin morphological characters, so they should be counted together in the species identification.
文摘提出一种基于形态特征的月季单株植株建模及大规模园林场景模拟方法。精确采集月季植株各主要器官的真实形态数据;对这些数据特征进行深入分析,获取诸如黄金分割等形态特性;以这些特性为基础建立单株植株主枝与各层分枝间、枝与叶间的拓扑关系,同时模拟茎、叶、花、刺等各器官以生成完整的植株;通过基于角策略的Poisson Disk Tiles分布模型生成大规模园林月季场景。实验结果表明:算法能够真实、有效地生成多种不同形态的单株月季植株并模拟大规模园林月季场景,具有广泛应用价值和广阔发展前景。
基金the National Science Foundation of China(No.61471185)the Natural Science Foundation of Shandong Province(No.ZR2016FM21)+1 种基金Shandong Province Science and Technology Plan Project(No.2015GSF116001)Yantai City Key Research and Development Plan Project(Nos.2014ZH157 and2016ZH057)
文摘In this paper, we proposed a registration method by combining the morphological component analysis(MCA) and scale-invariant feature transform(SIFT) algorithm. This method uses the perception dictionaries,and combines the Basis-Pursuit algorithm and the Total-Variation regularization scheme to extract the cartoon part containing basic geometrical information from the original image, and is stable and unsusceptible to noise interference. Then a smaller number of the distinctive key points will be obtained by using the SIFT algorithm based on the cartoon part of the original image. Matching the key points by the constrained Euclidean distance,we will obtain a more correct and robust matching result. The experimental results show that the geometrical transform parameters inferred by the matched key points based on MCA+SIFT registration method are more exact than the ones based on the direct SIFT algorithm.
