{"title":"分析加氢催化剂活性相的智能方法:UC-S/ SC-S 的条纹相鉴定","authors":"Zhujun Wang, Ailin Cui and Song Bao","doi":"10.1039/D4RE00239C","DOIUrl":null,"url":null,"abstract":"<p >In order to realize the intelligent recognition and statistics of hydrogenation catalyst image information, different from traditional methods, this paper presents a new method to judge the active phase by image recognition. Firstly, image enhancement and Gabor filtering are used for image preprocessing to suppress the background and obtain the region with strong contrast. The fringe of the hydrogenation catalyst was extracted using a morphological algorithm. Finally, the edge of the fringe was extracted using a Sobel operator to detect the end of the skeleton line, which realized segmentation and recognition of the hydrogenation catalyst image. This method extracts features through data analysis of a large number of image samples to improve the robustness of the method and reduce the errors caused by manual judgment. The experimental results show that the proposed method has high accuracy and is highly consistent with the traditional method of judging the active phase, which has practical engineering application value.</p>","PeriodicalId":101,"journal":{"name":"Reaction Chemistry & Engineering","volume":" 10","pages":" 2647-2658"},"PeriodicalIF":3.4000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent method for analysis of the active phase of hydrogenation catalysts: stripe phase identification of UC-S/SC-S†\",\"authors\":\"Zhujun Wang, Ailin Cui and Song Bao\",\"doi\":\"10.1039/D4RE00239C\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >In order to realize the intelligent recognition and statistics of hydrogenation catalyst image information, different from traditional methods, this paper presents a new method to judge the active phase by image recognition. Firstly, image enhancement and Gabor filtering are used for image preprocessing to suppress the background and obtain the region with strong contrast. The fringe of the hydrogenation catalyst was extracted using a morphological algorithm. Finally, the edge of the fringe was extracted using a Sobel operator to detect the end of the skeleton line, which realized segmentation and recognition of the hydrogenation catalyst image. This method extracts features through data analysis of a large number of image samples to improve the robustness of the method and reduce the errors caused by manual judgment. The experimental results show that the proposed method has high accuracy and is highly consistent with the traditional method of judging the active phase, which has practical engineering application value.</p>\",\"PeriodicalId\":101,\"journal\":{\"name\":\"Reaction Chemistry & Engineering\",\"volume\":\" 10\",\"pages\":\" 2647-2658\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reaction Chemistry & Engineering\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2024/re/d4re00239c\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reaction Chemistry & Engineering","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/re/d4re00239c","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Intelligent method for analysis of the active phase of hydrogenation catalysts: stripe phase identification of UC-S/SC-S†
In order to realize the intelligent recognition and statistics of hydrogenation catalyst image information, different from traditional methods, this paper presents a new method to judge the active phase by image recognition. Firstly, image enhancement and Gabor filtering are used for image preprocessing to suppress the background and obtain the region with strong contrast. The fringe of the hydrogenation catalyst was extracted using a morphological algorithm. Finally, the edge of the fringe was extracted using a Sobel operator to detect the end of the skeleton line, which realized segmentation and recognition of the hydrogenation catalyst image. This method extracts features through data analysis of a large number of image samples to improve the robustness of the method and reduce the errors caused by manual judgment. The experimental results show that the proposed method has high accuracy and is highly consistent with the traditional method of judging the active phase, which has practical engineering application value.
期刊介绍:
Reaction Chemistry & Engineering is a new journal reporting cutting edge research into all aspects of making molecules for the benefit of fundamental research, applied processes and wider society.
From fundamental, molecular-level chemistry to large scale chemical production, Reaction Chemistry & Engineering brings together communities of chemists and chemical engineers working to ensure the crucial role of reaction chemistry in today’s world.