KARACHI: Dr. Enrique Nava Baro from Malaga University, Spain visited Sir Syed University of Engineering & Technology (SSUET) and delivered a lecture on a brief evolution of image processing techniques in medical applications.
Dr. Enriguqe Nava Baro gave an impressive and informative presentation on image processing. Nava Baro explained that image analysis includes detection, segmentation, quantification and classification.
This process can detect small calcium spots produced by malignant cells and nodules with a concentration of malignant tissue.
While image segmentation techniques involve thresholding techniques, region growing, split and merge, image dependent methods, active contours (snakes), deformable models and CNN.
Snakes were proposed in 1988 by Witkin and Terzopoilos. The idea is to minimize energy whose parameters define a contour. He said, “Image segmentation is the process of partitioning an image into multiple segments. Image segmentation is typically used to locate objects and boundaries in images.”
“Measurement of image characteristics or features, Object size, contour size, contour signature, statistical region or contour features, Likelihood with an object model, Texture features,” Dr. Enriguqe Nava Baro added.”
In the end, Chancellor Jawaid Anwar along with Vice-Chancellor Prof. Dr. Vali Uddin presented SSUET Souvenir to the guest Dr. Enriguqe Nava Baro. Digital image processing consists of the manipulation of images using digital computers.
He highlighted the process has been increasing exponentially in the last decades. Its applications range from medicine to entertainment, passing by geological processing and remote sensing.
Multimedia systems, one of the pillars of the modern information society, rely heavily on digital image processing, he added.
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