In this letter, drawbacks of the classical algorithm to enhance the fuzzy contrast among adjacent regions are analyzed. Based on it, a new fuzzy enhancement algorithm and a linear fuzzy distribution that maps the gray...In this letter, drawbacks of the classical algorithm to enhance the fuzzy contrast among adjacent regions are analyzed. Based on it, a new fuzzy enhancement algorithm and a linear fuzzy distribution that maps the gray images to corresponding generalized fuzzy set are proposed. Results of two examples illustrate that the algorithm is more effective and faster when used to detect the multi-level edges of images.展开更多
A fine grained distributed multimedia synchronization model——Enhanced Fuzzy timing Petri Net was proposed which is good at modeling indeterminacy and fuzzy. To satisfy the need of maximum tolerable jitter, the suffi...A fine grained distributed multimedia synchronization model——Enhanced Fuzzy timing Petri Net was proposed which is good at modeling indeterminacy and fuzzy. To satisfy the need of maximum tolerable jitter, the sufficient conditions are given in intra object synchronization. Method to find a proper granularity in inter object synchronization is also given to satisfy skew. Exceptions are detected and corrected as early as possible using restricted blocking method.展开更多
In industrial X-ray inspection, in order to identify weld defects automatically, raise the identification ratio, and avoid processing of complex background, it is an important step for sequent processing to extract we...In industrial X-ray inspection, in order to identify weld defects automatically, raise the identification ratio, and avoid processing of complex background, it is an important step for sequent processing to extract weld from the image. According to the characteristics of weld radiograph image, median filter is adopted to reduce the noise with high frequency, then relative gray-scale of image is chosen as fuzzy characteristic, and image gray-scale fuzzy matrix is constructed and suitable membership function is selected to describe edge characteristic. A fuzzy algorithm is adopted for enhancing radiograph image processing. Based on the intensity distribution characteristic in weld, methodology of weld extraction is then designed. This paper describes the methodology of all the weld extraction, including reducing noise, fuzzy enhancement and weld extraction process. To prove its effectiveness, this methodology was tested with 64 weld negative images available for this study. The experimental results show that this methodology is very effective for extracting linear weld.展开更多
As an important part of the mass balance of the Ice Sheet,Supra-glacial Water not only reflects the diversity of polar environmental changes,but also plays an important role in the study of global climate and environm...As an important part of the mass balance of the Ice Sheet,Supra-glacial Water not only reflects the diversity of polar environmental changes,but also plays an important role in the study of global climate and environmental changes.In this paper,we chose northern Greenland as the research area,and constructed a Normalized Enhanced Water Index(NEWI)based on the high-precision WorldView-2 images of different phases during the ablation period in northern Greenland,followed by a statistical analysis on the spectral characteristics of the images were for the typical features in the study area.Then the fuzzy areas with similar gray values of thin sea ice and shallow ice water bodies were located,according to the distribution rules of ground objects and histogram graphic features of the images,so as to enhance the contrast of ground objects between the regions,and finally the extraction of the fine range of water bodies on the ice surface.Experimental results showed that the proposed index effectively highlighted the ice water with the water of the reflectivity difference,compared with the commonly used water index NDWI,etc.,especially in shallow water,which contributes to differentiation from other objects.The precision evaluation showed that the applied method of extraction has higher degree of refinement compared with other methods,by which the ice water can get complete ice water effectively.展开更多
In this paper,a condition monitoring method based on enhanced hierarchical fuzzy entropy and support vector data description(SVDD)is proposed to detect the abnormal state of diesel engine.Aiming at the lack of charact...In this paper,a condition monitoring method based on enhanced hierarchical fuzzy entropy and support vector data description(SVDD)is proposed to detect the abnormal state of diesel engine.Aiming at the lack of characterization of traditional statistical parameters,entropy algorithm is introduced to extract the fault mode information rich in vibration signal.Combined with the enhanced hierarchical analysis process,the enhanced hierarchical fuzzy entropy algorithm is proposed to enhance the extraction of high and low frequency fault related information in vibration signals.SVDD is used to construct anomaly detection model and set the threshold automatically.And the parrot optimization algorithm is used to optimize the parameters of the support vector data model to improve the adaptability and discrimination of the model.In order to verify the effectiveness of the proposed method,an experiment of a six-cylinder diesel engine under multiple working conditions was carried out to obtain the diesel cylinder head vibration data set under multiple conditions.Through feature analysis and discriminant analysis,the results show that compared with the existing entropy algorithm and intelligent search algorithm,the proposed method shows better representation and discriminant ability,and the average precision and recall rate under multiple loads are 99.32%and 92%,respectively.展开更多
基金Supported by the Natural Science Foundation of GuangDong Province(NO.011750)
文摘In this letter, drawbacks of the classical algorithm to enhance the fuzzy contrast among adjacent regions are analyzed. Based on it, a new fuzzy enhancement algorithm and a linear fuzzy distribution that maps the gray images to corresponding generalized fuzzy set are proposed. Results of two examples illustrate that the algorithm is more effective and faster when used to detect the multi-level edges of images.
文摘A fine grained distributed multimedia synchronization model——Enhanced Fuzzy timing Petri Net was proposed which is good at modeling indeterminacy and fuzzy. To satisfy the need of maximum tolerable jitter, the sufficient conditions are given in intra object synchronization. Method to find a proper granularity in inter object synchronization is also given to satisfy skew. Exceptions are detected and corrected as early as possible using restricted blocking method.
文摘In industrial X-ray inspection, in order to identify weld defects automatically, raise the identification ratio, and avoid processing of complex background, it is an important step for sequent processing to extract weld from the image. According to the characteristics of weld radiograph image, median filter is adopted to reduce the noise with high frequency, then relative gray-scale of image is chosen as fuzzy characteristic, and image gray-scale fuzzy matrix is constructed and suitable membership function is selected to describe edge characteristic. A fuzzy algorithm is adopted for enhancing radiograph image processing. Based on the intensity distribution characteristic in weld, methodology of weld extraction is then designed. This paper describes the methodology of all the weld extraction, including reducing noise, fuzzy enhancement and weld extraction process. To prove its effectiveness, this methodology was tested with 64 weld negative images available for this study. The experimental results show that this methodology is very effective for extracting linear weld.
基金supported by the 2020 Key project of Science and Technology for Economy(Grant No. SQ2020YFF0426316)。
文摘As an important part of the mass balance of the Ice Sheet,Supra-glacial Water not only reflects the diversity of polar environmental changes,but also plays an important role in the study of global climate and environmental changes.In this paper,we chose northern Greenland as the research area,and constructed a Normalized Enhanced Water Index(NEWI)based on the high-precision WorldView-2 images of different phases during the ablation period in northern Greenland,followed by a statistical analysis on the spectral characteristics of the images were for the typical features in the study area.Then the fuzzy areas with similar gray values of thin sea ice and shallow ice water bodies were located,according to the distribution rules of ground objects and histogram graphic features of the images,so as to enhance the contrast of ground objects between the regions,and finally the extraction of the fine range of water bodies on the ice surface.Experimental results showed that the proposed index effectively highlighted the ice water with the water of the reflectivity difference,compared with the commonly used water index NDWI,etc.,especially in shallow water,which contributes to differentiation from other objects.The precision evaluation showed that the applied method of extraction has higher degree of refinement compared with other methods,by which the ice water can get complete ice water effectively.
基金funded by the National Key R&D Program of China(Grant No.2021YFD2000303)the Weichai Power Co.,Ltd.(Grant No.WCDL-GH-2023-0147).
文摘In this paper,a condition monitoring method based on enhanced hierarchical fuzzy entropy and support vector data description(SVDD)is proposed to detect the abnormal state of diesel engine.Aiming at the lack of characterization of traditional statistical parameters,entropy algorithm is introduced to extract the fault mode information rich in vibration signal.Combined with the enhanced hierarchical analysis process,the enhanced hierarchical fuzzy entropy algorithm is proposed to enhance the extraction of high and low frequency fault related information in vibration signals.SVDD is used to construct anomaly detection model and set the threshold automatically.And the parrot optimization algorithm is used to optimize the parameters of the support vector data model to improve the adaptability and discrimination of the model.In order to verify the effectiveness of the proposed method,an experiment of a six-cylinder diesel engine under multiple working conditions was carried out to obtain the diesel cylinder head vibration data set under multiple conditions.Through feature analysis and discriminant analysis,the results show that compared with the existing entropy algorithm and intelligent search algorithm,the proposed method shows better representation and discriminant ability,and the average precision and recall rate under multiple loads are 99.32%and 92%,respectively.
