{"title":"The Survey of Digital Image Analysis with Artificial Intelligence- DCNN Technique","authors":"Ajay Rastogi, Ravendra Singh, Ranjana Sharma, Shanker Dutt Kalony","doi":"10.1109/SMART50582.2020.9337062","DOIUrl":null,"url":null,"abstract":"Image analysis using the Artificial Intelligence (AI) is now in trend. There are a lot of data in the image format. Using image analysis many useful information can be extracted. In this period where many people are having smart phones, they are clicking a lot of images. Sometimes they have forgot about the images. But when they want to access the image they have clicked few days before, then they have to search them manually. Search image manually is a very tedious task. Second there are different types of disease diagnostic tools produce medical images. In these images detecting a disease is required expert knowledge. And many times experts also can do a mistake. But in the artificial intelligence these problem could be rectified. Using Deep-Convolutional Neural Network(DCNN) of AI, enables the world of image analysis for us.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART50582.2020.9337062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Image analysis using the Artificial Intelligence (AI) is now in trend. There are a lot of data in the image format. Using image analysis many useful information can be extracted. In this period where many people are having smart phones, they are clicking a lot of images. Sometimes they have forgot about the images. But when they want to access the image they have clicked few days before, then they have to search them manually. Search image manually is a very tedious task. Second there are different types of disease diagnostic tools produce medical images. In these images detecting a disease is required expert knowledge. And many times experts also can do a mistake. But in the artificial intelligence these problem could be rectified. Using Deep-Convolutional Neural Network(DCNN) of AI, enables the world of image analysis for us.