To overcome the shortcomings of the Lee image enhancement algorithm and its improvement based on the logarithmic image processing(LIP) model, this paper proposes what we believe to be an effective image enhancement al...To overcome the shortcomings of the Lee image enhancement algorithm and its improvement based on the logarithmic image processing(LIP) model, this paper proposes what we believe to be an effective image enhancement algorithm. This algorithm introduces fuzzy entropy, makes full use of neighborhood information, fuzzy information and human visual characteristics.To enhance an image, this paper first carries out the reasonable fuzzy-3 partition of its histogram into the dark region, intermediate region and bright region. It then extracts the statistical characteristics of the three regions and adaptively selects the parameter αaccording to the statistical characteristics of the image’s gray-scale values. It also adds a useful nonlinear transform, thus increasing the ubiquity of the algorithm. Finally, the causes for the gray-scale value overcorrection that occurs in the traditional image enhancement algorithms are analyzed and their solutions are proposed.The simulation results show that our image enhancement algorithm can effectively suppress the noise of an image, enhance its contrast and visual effect, sharpen its edge and adjust its dynamic range.展开更多
A new method based on gray-natural logarithm ratio bilateral filtering is presented for image smoothing in this work. A new gray-natural logarithm ratio range filter kernel, leading to adaptive magnitude from image gr...A new method based on gray-natural logarithm ratio bilateral filtering is presented for image smoothing in this work. A new gray-natural logarithm ratio range filter kernel, leading to adaptive magnitude from image gray distinction information, is pointed out for the bilateral filtering. The new method can not only well restrain noise but also keep much more weak edges and details of an image, and preserve the original color transition of color images. Experimental results show the effectiveness for image denoising with our method.展开更多
During smile evaluation and anterior esthetic construction,the anatomic and racial variations should be considered in order to achieve better matching results.The aims of this study were to validate an objective metho...During smile evaluation and anterior esthetic construction,the anatomic and racial variations should be considered in order to achieve better matching results.The aims of this study were to validate an objective method for recording spontaneous smile process and to categorize the smile and upper lip curvature of Chinese Han-nationality youth.One hundred and eighty-eight Chinese Han-nationality youths(88 males and 100 females) ranged from 20 to 35 years of age were selected.Spontaneous smiles were elicited by watching comical movies and the dynamics of the spontaneous smile were captured continuously with a digital video camera.All subjects’ smiles were categorized into three types:commissure,cuspid and gummy smile based on video editing software and final images.Subjects’ upper lip curvatures were also measured and divided into three groups:upward,straight and downward.Reliability analysis was conducted to obtain intra-rater reliabilities on twice measurements.The Pearson Chi-square test was used to compare differences for each parameters(α=0.05).In smile classification,60.6%commissure smile,33.5%cuspid smile and 5.9%gummy smile were obtained.In upper lip measurement,26.1%upward,39.9%straight and 34.0%downward upper lip curvature were determined.The commissure smile group showed statistically significant higher percentage of straight(46.5%) and upward(40.4%) in upper lip curvatures(P<0.05),while cuspid smile group(65.1%) and gummy smile group(72.7%) showed statistically significant higher frequency in downward upper lip curvature(P<0.05).It is evident that differences in upper lip curvature and smile classification exist based on race,when comparing Chinese subjects with those of Caucasian descent,and gender.展开更多
基金supported by the National Natural Science Foundation of China(61472324)
文摘To overcome the shortcomings of the Lee image enhancement algorithm and its improvement based on the logarithmic image processing(LIP) model, this paper proposes what we believe to be an effective image enhancement algorithm. This algorithm introduces fuzzy entropy, makes full use of neighborhood information, fuzzy information and human visual characteristics.To enhance an image, this paper first carries out the reasonable fuzzy-3 partition of its histogram into the dark region, intermediate region and bright region. It then extracts the statistical characteristics of the three regions and adaptively selects the parameter αaccording to the statistical characteristics of the image’s gray-scale values. It also adds a useful nonlinear transform, thus increasing the ubiquity of the algorithm. Finally, the causes for the gray-scale value overcorrection that occurs in the traditional image enhancement algorithms are analyzed and their solutions are proposed.The simulation results show that our image enhancement algorithm can effectively suppress the noise of an image, enhance its contrast and visual effect, sharpen its edge and adjust its dynamic range.
基金the National Natural Science Foundation of China under Grant No.60778046.
文摘A new method based on gray-natural logarithm ratio bilateral filtering is presented for image smoothing in this work. A new gray-natural logarithm ratio range filter kernel, leading to adaptive magnitude from image gray distinction information, is pointed out for the bilateral filtering. The new method can not only well restrain noise but also keep much more weak edges and details of an image, and preserve the original color transition of color images. Experimental results show the effectiveness for image denoising with our method.
文摘During smile evaluation and anterior esthetic construction,the anatomic and racial variations should be considered in order to achieve better matching results.The aims of this study were to validate an objective method for recording spontaneous smile process and to categorize the smile and upper lip curvature of Chinese Han-nationality youth.One hundred and eighty-eight Chinese Han-nationality youths(88 males and 100 females) ranged from 20 to 35 years of age were selected.Spontaneous smiles were elicited by watching comical movies and the dynamics of the spontaneous smile were captured continuously with a digital video camera.All subjects’ smiles were categorized into three types:commissure,cuspid and gummy smile based on video editing software and final images.Subjects’ upper lip curvatures were also measured and divided into three groups:upward,straight and downward.Reliability analysis was conducted to obtain intra-rater reliabilities on twice measurements.The Pearson Chi-square test was used to compare differences for each parameters(α=0.05).In smile classification,60.6%commissure smile,33.5%cuspid smile and 5.9%gummy smile were obtained.In upper lip measurement,26.1%upward,39.9%straight and 34.0%downward upper lip curvature were determined.The commissure smile group showed statistically significant higher percentage of straight(46.5%) and upward(40.4%) in upper lip curvatures(P<0.05),while cuspid smile group(65.1%) and gummy smile group(72.7%) showed statistically significant higher frequency in downward upper lip curvature(P<0.05).It is evident that differences in upper lip curvature and smile classification exist based on race,when comparing Chinese subjects with those of Caucasian descent,and gender.
