O'Reilly logo

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition by Hamid R Arabnia, Leonidas Deligiannidis

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 30

Detecting distorted and benign blood cells using the Hough transform based on neural networks and decision trees

Hany A. Elsalamony    Mathematics Department, Faculty of Science, Helwan University, Cairo, Egypt

Abstract

Sickle-cell anemia is one of the most important types of anemia. This paper presents an algorithm for detecting blood cells characteristic of sickle-cell anemia. First, I discuss the construction of an algorithm that can be used to detect and count benign or distorted red blood cells (RBCs) in a microscopic colored image, even if those cells are hidden or overlapped. Second, I explain the process for checking and analyzing the constructed RBC data by applying two important techniques in data mining: the neural network ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required