This study is to compare how Canny and Sobel Operators can be used as edge detection technique for various logo images. The main process involved Sobel and Canny edge detection techniques using captured logo images and logo images from internet. The images manipulated by median filtering to remove noise and Otsu's method is used to determine threshold value. The result shows that both operators have their own advantages and disadvantages to be used as edge detection aid for logo images.

No abstract

In diagnosing coronary artery disease, measurement of the cross-sectional area of the lumen, maximum and minimum diameter is very important. Mainly, it will be used to confirm the diagnosing, to predict the stenosis if any and to ensure the size of the stent to be used. However, the measurement only offers by the existing software and some of the software needs human interaction to complete the process. The purpose of this paper is to present the algorithm to measure the region of interest (ROI) on intravascular ultrasound (IVUS) using an image processing technique. The methodology starts with image acquisition process followed by image segmentation. After that, border detection for each ROI was detected and the algorithm was applied to calculate the corresponding region. The result shows that the measurement is accurate and could be used not only for IVUS but applicable to solid circle and unsymmetrical circle shape.

No abstract

No abstract