Introduction: Fractures of the humeral pallet occur between the distal insertion of the anterior brachial muscle and the joint space of the elbow. It represents 2% of all elbow fractures. These lower humeral fractures...Introduction: Fractures of the humeral pallet occur between the distal insertion of the anterior brachial muscle and the joint space of the elbow. It represents 2% of all elbow fractures. These lower humeral fractures present a therapeutic challenge to trauma. These fractures are in the majority of joint cases and can be accompanied by loss of substance, which makes their functional prognosis random despite the application of the main therapeutic principles: exact reduction with possible bone graft;stable osteosynthesis, usually allowing early rehabilitation. This work focused on identifying therapeutic aspects and assessing treatment outcomes. Material and Methods: This was a descriptive cross-sectional study of patients with a fracture of the humeral palette from January 2015 to December 2019 at the Orthopaedic Trauma Department CHU Gabriel Touré Bamako. Results: We collected 35 cases of fractures of the humeral palette. The average age was 39.25 years with extremes of 22 and 74 years. The male gender predominated (71.4%) with a sex ratio of 2.5. Etiologies were dominated by falls with 19 cases (54.3%) and stroke with 13 cases (37.1%). The standard X-ray of the face and profile of the elbow was performed in all our patients. The most frequent types of anatomoradiology were supra condylar fractures type A in 16 cases (45.7%), supra and inter condylar fractures type C in 15 cases (42.9%);4 cases of uni condylar fractures type B (11.4%). Associated lesions were observed in 42.85%. Surgical treatment was performed in 80% of cases. Complications were dominated by elbow stiffness in 18 cases (51.42%), secondary displacement in 5 cases (14.28%), ossifications in 4 cases (11.42%). At an average decrease of 3.2 years our results were considered good in 45.7%. Conclusion: Fractures of the humeral palette are relatively common with associated lesions. The complexity of the fracture with associated lesions makes treatment difficult with unpredictable evolution.展开更多
The method of color quantization and the technique of color spatial quantization based onKohonen neural network are presented in this paper.The later is actually a method of matrixquantization.Using Kohonen NN a palet...The method of color quantization and the technique of color spatial quantization based onKohonen neural network are presented in this paper.The later is actually a method of matrixquantization.Using Kohonen NN a palette and a codebook for color spatial quantization canbe easily obtained.Image compression techniques for digital areonautical maps must be cho-sen to allow rapid decompression and display while maximizing the compression ratio and im-age quality.The palette-based compression technique uses a palette and a codebook based onpalette for color spatial quantization as double look-up -tables,making image decompressionand display just a quick and simple process of looking up the two tables.展开更多
The use of Infrared Thermal Scanners proved to be very useful in lots of applications. Using different color palettes, temperatures can be well-represented in the resulting image. However, most color palettes in hot t...The use of Infrared Thermal Scanners proved to be very useful in lots of applications. Using different color palettes, temperatures can be well-represented in the resulting image. However, most color palettes in hot tropical places like the Philippines are unsuitable since the ambient temperature is almost the same as the scanned object or person. This study evaluates twelve (12) known and used color palettes in the market to determine the most suitable for tropical places using the edge/border tracing algorithms Sobel-Feldman and Laplacian. The result shows that color palettes with the most colors produce more noise, making it difficult to distinguish the object scanned from the background. On the other hand, color palettes with three or fewer contrasting colors produce crisp and more detailed results. This study helps developers and researchers efficiently use color combinations suitable for hot weather for an effective thermal scanning and image representation.展开更多
Appropriate color mapping for categorical data visualization can significantly facilitate the discovery of underlying data patterns and effectively bring out visual aesthetics.Some systems suggest pre-defined palettes...Appropriate color mapping for categorical data visualization can significantly facilitate the discovery of underlying data patterns and effectively bring out visual aesthetics.Some systems suggest pre-defined palettes for this task.However,a predefined color mapping is not always optimal,failing to consider users’needs for customization.Given an input cate-gorical data visualization and a reference image,we present an effective method to automatically generate a coloring that resembles the reference while allowing classes to be easily distinguished.We extract a color palette with high perceptual distance between the colors by sampling dominant and discriminable colors from the image’s color space.These colors are assigned to given classes by solving an integer quadratic program to optimize point distinctness of the given chart while preserving the color spatial relations in the source image.We show results on various coloring tasks,with a diverse set of new coloring appearances for the input data.We also compare our approach to state-of-the-art palettes in a controlled user study,which shows that our method achieves comparable performance in class discrimination,while being more similar to the source image.User feedback after using our system verifies its efficiency in automatically generating desirable colorings that meet the user’s expectations when choosing a reference.展开更多
Existing color editing algorithms enable users to edit the colors in an image according to their own aesthetics.Unlike artists who have an accurate grasp of color,ordinary users are inexperienced in color selection an...Existing color editing algorithms enable users to edit the colors in an image according to their own aesthetics.Unlike artists who have an accurate grasp of color,ordinary users are inexperienced in color selection and matching,and allowing non-professional users to edit colors arbitrarily may lead to unrealistic editing results.To address this issue,we introduce a palette-based approach for realistic object-level image recoloring.Our data-driven approach consists of an offline learning part that learns the color distributions for different objects in the real world,and an online recoloring part that first recognizes the object category,and then recommends appropriate realistic candidate colors learned in the offline step for that category.We also provide an intuitive user interface for efficient color manipulation.After color selection,image matting is performed to ensure smoothness of the object boundary.Comprehensive evaluation on various color editing examples demonstrates that our approach outperforms existing state-of-the-art color editing algorithms.展开更多
文摘Introduction: Fractures of the humeral pallet occur between the distal insertion of the anterior brachial muscle and the joint space of the elbow. It represents 2% of all elbow fractures. These lower humeral fractures present a therapeutic challenge to trauma. These fractures are in the majority of joint cases and can be accompanied by loss of substance, which makes their functional prognosis random despite the application of the main therapeutic principles: exact reduction with possible bone graft;stable osteosynthesis, usually allowing early rehabilitation. This work focused on identifying therapeutic aspects and assessing treatment outcomes. Material and Methods: This was a descriptive cross-sectional study of patients with a fracture of the humeral palette from January 2015 to December 2019 at the Orthopaedic Trauma Department CHU Gabriel Touré Bamako. Results: We collected 35 cases of fractures of the humeral palette. The average age was 39.25 years with extremes of 22 and 74 years. The male gender predominated (71.4%) with a sex ratio of 2.5. Etiologies were dominated by falls with 19 cases (54.3%) and stroke with 13 cases (37.1%). The standard X-ray of the face and profile of the elbow was performed in all our patients. The most frequent types of anatomoradiology were supra condylar fractures type A in 16 cases (45.7%), supra and inter condylar fractures type C in 15 cases (42.9%);4 cases of uni condylar fractures type B (11.4%). Associated lesions were observed in 42.85%. Surgical treatment was performed in 80% of cases. Complications were dominated by elbow stiffness in 18 cases (51.42%), secondary displacement in 5 cases (14.28%), ossifications in 4 cases (11.42%). At an average decrease of 3.2 years our results were considered good in 45.7%. Conclusion: Fractures of the humeral palette are relatively common with associated lesions. The complexity of the fracture with associated lesions makes treatment difficult with unpredictable evolution.
文摘The method of color quantization and the technique of color spatial quantization based onKohonen neural network are presented in this paper.The later is actually a method of matrixquantization.Using Kohonen NN a palette and a codebook for color spatial quantization canbe easily obtained.Image compression techniques for digital areonautical maps must be cho-sen to allow rapid decompression and display while maximizing the compression ratio and im-age quality.The palette-based compression technique uses a palette and a codebook based onpalette for color spatial quantization as double look-up -tables,making image decompressionand display just a quick and simple process of looking up the two tables.
文摘The use of Infrared Thermal Scanners proved to be very useful in lots of applications. Using different color palettes, temperatures can be well-represented in the resulting image. However, most color palettes in hot tropical places like the Philippines are unsuitable since the ambient temperature is almost the same as the scanned object or person. This study evaluates twelve (12) known and used color palettes in the market to determine the most suitable for tropical places using the edge/border tracing algorithms Sobel-Feldman and Laplacian. The result shows that color palettes with the most colors produce more noise, making it difficult to distinguish the object scanned from the background. On the other hand, color palettes with three or fewer contrasting colors produce crisp and more detailed results. This study helps developers and researchers efficiently use color combinations suitable for hot weather for an effective thermal scanning and image representation.
基金supported in parts by National Natural Science Foundation of China(U2001206,61872250)GD Talent Program(2019JC05X328)+2 种基金GD Natural Science Foundation(2020A0505100064,2021B1515020085)DEGP Key Project(2018KZDXM058)Shenzhen Science and Technology Key Program(RCJC20200714114435012,JCYJ20210324120213036).
文摘Appropriate color mapping for categorical data visualization can significantly facilitate the discovery of underlying data patterns and effectively bring out visual aesthetics.Some systems suggest pre-defined palettes for this task.However,a predefined color mapping is not always optimal,failing to consider users’needs for customization.Given an input cate-gorical data visualization and a reference image,we present an effective method to automatically generate a coloring that resembles the reference while allowing classes to be easily distinguished.We extract a color palette with high perceptual distance between the colors by sampling dominant and discriminable colors from the image’s color space.These colors are assigned to given classes by solving an integer quadratic program to optimize point distinctness of the given chart while preserving the color spatial relations in the source image.We show results on various coloring tasks,with a diverse set of new coloring appearances for the input data.We also compare our approach to state-of-the-art palettes in a controlled user study,which shows that our method achieves comparable performance in class discrimination,while being more similar to the source image.User feedback after using our system verifies its efficiency in automatically generating desirable colorings that meet the user’s expectations when choosing a reference.
基金supported by National Natural Science Foundation of China(Grant Nos.61972216 and 62111530097)NSF of Tianjin City(Grant Nos.18JCYBJC41300 and 18ZXZNGX00110).
文摘Existing color editing algorithms enable users to edit the colors in an image according to their own aesthetics.Unlike artists who have an accurate grasp of color,ordinary users are inexperienced in color selection and matching,and allowing non-professional users to edit colors arbitrarily may lead to unrealistic editing results.To address this issue,we introduce a palette-based approach for realistic object-level image recoloring.Our data-driven approach consists of an offline learning part that learns the color distributions for different objects in the real world,and an online recoloring part that first recognizes the object category,and then recommends appropriate realistic candidate colors learned in the offline step for that category.We also provide an intuitive user interface for efficient color manipulation.After color selection,image matting is performed to ensure smoothness of the object boundary.Comprehensive evaluation on various color editing examples demonstrates that our approach outperforms existing state-of-the-art color editing algorithms.
