Review and evaluation of filtering in the optimization of medical images
عنوان مقاله: Review and evaluation of filtering in the optimization of medical images
شناسه ملی مقاله: SECONGRESS01_218
منتشر شده در اولین کنگره بین المللی علوم، مهندسی و فن آوری های نو در سال 1401
شناسه ملی مقاله: SECONGRESS01_218
منتشر شده در اولین کنگره بین المللی علوم، مهندسی و فن آوری های نو در سال 1401
مشخصات نویسندگان مقاله:
Amir Mohammad Moradi
خلاصه مقاله:
Amir Mohammad Moradi
The equipments with which we capture images are often influenced by measurement noise; therefore, the resulting images may not provide the quality needed for desired analysis. In addition, even for images with acceptable quality, it is often the case that certain regions, features, or components of the image need to be emphasized and highlighted. As an example, when processing medical images, it is often the case that highlighting certain parts of the image such as tumor-like regions would help physicians make a better diagnosis. In this Article, the main computational techniques commonly used in image processing to restore and enhance images are discussed. Image restoration and enhancement techniques can be regarded as computational algorithms that receive an image as their input and generate an enhanced or restored version of this image as their output.
کلمات کلیدی: Biomedical Signal _ Image Processing _ Artificial intelligence _ image filtering
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1591343/