Retinal image analysis is an essential step in the diagnosis of various eye diseases. Diabetic Retinopathy (DR) is globally the primary cause of visual impairment and blindness in diabetic patients. Early diagnosis through regular screening and timely treatment has proven beneficial in preventing visual impairment and blindness. In this paper we have proposed a novel approach to automatically d...

This paper presents a novel approach to multiresolution edge detection, which combines the grayscale morphological filtering, pyramid data structure and fuzzy technique. It mainly addresses the linking of edge nodes at adjacent levels in image pyramid. In previous pyramidal approaches, linking is based on linear relationship and intensity proximity only. The approach proposed here contains mult...

Finding intracranial aneurysms plays a key role in preventing serious cerebral diseases such as subarachnoid hemorrhage. For detection of aneurysms, magnetic resonance angiography (MRA) can provide detailed images of arteries non-invasively. However, because over 100MRA images per subject are required to cover the entire cerebrum, image diagnosis using MRA is very time-consuming and labor-inten...

Spatial information is a crucial aspect of image understanding for modeling context as well as resolving the uncertainties caused by the ambiguities in low-level features. We describe flexible, intuitive and efficient methods for modeling pairwise directional spatial relationships and the ternary between relation using fuzzy mathematical morphology. First, a fuzzy landscape is constructed where...

ABSTRACT Global warming is the today’s important problem for all over the world. Due to the global warming, countries come face to face with lots of problems such as shortage of clean and usable water, erosion, usage of natural resources, and climatic problems. That’s why; in this paper, we proposed a model for selection of the utilization strategies for water resources in Turkey by using analy...

Using thresholding method to segment an image, a fixed threshold is not suitable if the background is rough here, we propose a new adaptive thresholding method using KFCM. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image. An adaptive thresholding scheme using adaptive tracking and morphological filtering....