4D-CT medical compressible image processing using cellular neural network

Ultrasound medical image processing using cellular neural networks

Ct Image Labeling Using Hopfield Neural Network

In this work, a method for the computed tomography (CT) image labeling is presented. CT images used in this work are obtained from patients having the spontaneous intra cerebral hemorrhage (ICH). The images are segmented into three tissue classes (skull, brain, and ICH) and the background. The method consists of two steps. In the the rst step, the image is divided into a number of regions using...

Curl Size and Pelt Color Determination of Zandi Lambs Using Image Processing and Artificial Neural Network

In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...

Digital Image Inpainting Using Cellular Neural Network

Digital Image inpainting methods provide a means for reconstruction of small damaged portions of an image. Image or video resources are often received in poor conditions, mostly with noise or defects making the resources difficult to read and understand. Some methods are presented that can be used for the reconstruction of damaged or partially known images. We propose an effective algorithm wit...

Identification of selected monogeneans using image processing, artificial neural network and K-nearest neighbor

Abstract Over the last two decades, improvements in developing computational tools made significant contributions to the classification of biological specimens` images to their correspondence species. These days, identification of biological species is much easier for taxonomist and even non-taxonomists due to the development of automated computer techniques and systems.  In this study, we d...