Presenting a method based on automatic image annotation techniques for the semantic recovery of images using artificial neural networks
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 57
فایل این مقاله در 15 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJNAA-14-11_003
تاریخ نمایه سازی: 3 دی 1402
چکیده مقاله:
With the ever-increasing growth of the Internet and the digital imaging industry, the need to organize and separate images is strongly felt. As a result, image databases with very large sizes were created. In such a situation, there is a strong need for effective tools and methods for image search and recovery. In this proposed method, an automatic image delineation method using an artificial neural network has been presented. At first, by studying reference books and articles related to the basic concepts that are necessary to start working in this field, then by studying the articles of recent years in the desired field, we will examine the strengths and weaknesses of the subject in more detail. Finally, by implementing and testing various ideas that have been expressed in the articles, and with the guidance of the supervisor and applying his ideas, he has tried to cover the weaknesses of other ideas, and finally, a method to improve the accuracy of image indexing and retrieval methods in databases based on the content of images to achieve high efficiency and reduce the semantic gap between low-level features and human perceptual concepts. The proposed color extraction method is simpler, less computationally complex, more accurate and faster. The results of evaluations and comparisons indicate the relative superiority of the proposed method over other methods.
کلیدواژه ها:
نویسندگان
Bita Amirshahi
Department of Computer Engineering and Information Tehnology, Payame Noor University, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :