Ocular fundus image can provide information on pathological changes caused by local ocular diseases and early signs of certain systemic diseases. Automated analysis and interpretation of fundus images has become a necessary and important diagnostic procedure in ophthalmology. Among the features in ocular fundus image are the optic disc, fovea (central vision area), lesions, and retinal vessels....

This paper presents a method for blood vessel detection in digital retinal images. The method uses fuzzy logic approach with block wise gridding. It uses an adaptive approach for vessel detection. The segmentation is produced by classifying each pixel of the image as vessel or nonvessel. The performance of the proposed methodology is evaluated on the publicly available DRIVE database. It also c...

Segmentation of blood vessels in retinal images provides early diagnosis of diseases like glaucoma, diabetic retinopathy and macular degeneration. Among these diseases occurrence of Glaucoma is most frequent and has serious ocular consequences that can even lead to blindness, if it is not detected early. The clinical criteria for the diagnosis of glaucoma include intraocular pressure measuremen...

Retinal images play a major role in several applications including the ocular fundus operations and human recognition. They also play vital roles in detection of diabetes in early stages by comparing the states of retinal blood vessels. The detection of blood vessels from the retinal images is usually a tedious process. In this work a new algorithm to detect the blood vessels effectively has be...

In this paper, a complete system for automatic lung nodule detection from Chest CT data is proposed. The proposed system includes the methods of lung segmentation and nodule detection from CT data. The algorithm for lung segmentation consists of surrounding air voxel removal, body fat/tissue identification, trachea detection, and pulmonary vessels segmentation. The nodule detection algorithm co...

This paper presents a study on digitization of Traditional Chinese Medicine diagnosis. The research consists of two aspects: 1) algorithms for blood vessels extraction in sclera-conjunctiva images, which can be applied in syndrome differentiation by observing human eyes (named Ocular Diagnostic in Traditional Chinese Medicine); 2) digitization of extracted vessels. First, sclera-conjunctiva reg...

The development of new vessels on the retina of people with diabetes is rare, but is likely to lead to severe visual impairment. This paper investigates the selection of suitable image features for the automatic detection of new vessels on the optic disc. The features are chosen based on their discrimination capability (tested using the non-parametric Wilcoxon rank sum and Ansari-Bradley disper...

The analysis of retinal blood vessels plays an important role in detecting and treating retinal diseases. In this review, we present an automated method to segment blood vessels of fundus retinal image. The proposed method could be used to support a non-intrusive diagnosis in modern ophthalmology for early detection of retinal diseases, treatment evaluation or clinical study. This study combine...

Availability of domain-specific datasets is an essential problem in object detection. Datasets inshore and offshore maritime vessels are no exception, with a limited number studies addressing vessel detection on such datasets. For that reason, we collected dataset consisting images taking into account different factors: background variation, atmospheric conditions, illumination, visible proport...