Performance Analysis Of Image Processing Techniques For Memory Usage And Cpu Execution Time

Kılıçkaya F. N., Ökdem S.

International Conference on Engineering Technologies (ICENTE'21), Konya, Turkey, 18 - 20 November 2021, pp.126-129

  • Publication Type: Conference Paper / Full Text
  • City: Konya
  • Country: Turkey
  • Page Numbers: pp.126-129
  • Kayseri University Affiliated: Yes


In recent years, many applications that use algorithms like artificial neural networks, deep learning, and fuzzy logic have been developed in order to improve tasks such as image classification, object perception, image enhancement, and image processing. These applications are technology products of image enhancement that are utilized in the military, industry, robotic, advertising, astronomy, medicine, geography, traffic, and many areas of daily life. Today, having every process done by autonomous systems instead of human beings has increased the significance of image processing. Processing a large number of images in one computer varies by processor and memory type. The image processing of a slower processor may last longer than a faster one does. The study consists of two phases. In the first phase, image data has been processed by an ideal technique. In the second phase, the performances of image process, on CPU and processor with respect to their calculation speed have been compared.