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Glaucoma is an asymptomatic eye disease and one of the major causes of irreversible blindness worldwide. For this reason, there have been significant advances in automatic screening tools for early detection. In this paper, an automatic glaucoma diagnosis algorithm based on retinal fundus image is presented. This algorithm uses anatomical characteristics such as the position of the vessels and the...
Glaucoma is one of the leading cause of blindness. The manual examination of optic cup and disc is a standard procedure used for detecting glaucoma. This paper presents a fully automatic regression based method which accurately segments optic cup and disc in retinal colour fundus image. First, we roughly segment optic disc using circular hough transform. The approximated optic disc is then used to...
Lung tumor segmentation is important for therapy in the radiation treatment of patients with thoracic malignancies. In this paper, we describe a 4D image segmentation method based on graph-cuts optimization, shape prior and optical flow. Due to small size, the location, and low contrast between the tumor and the surrounding tissue, tumor segmentation in 3D+t is challenging. We performed 4D lung tumor...
Neovascularization (NV) is a definitive indicator for the onset of Proliferative Diabetic Retinopathy (PDR). The new vessels are fragile and prone to bleed, leading to high risk of sudden vision loss. Automatic detection of NV is an important task in automatic Diabetic Retinopathy (DR) screening as a consequence of the unmet requirement between the growing number of DR patients and limited number...
In this letter, a novel method is proposed to conduct sea-land segmentation in the help of geographic information for high resolution (HR) optical remote sensing image. Firstly the pre-segmentation is conducted by the means of image analysis. Then the salient structure mainly formed by artificial facility can be used to determine the region of interests (ROI), which contains the potential ship targets...
The paper discusses the passive optical detection of small-sized targets moving through the air at overhead levels. An experimental module for a standalone locator to operate in real time is presented together with methods usable within the actual implementation of the underlying designer project. Within the supporting tests, an algorithm was developed to detect small particles in a video sequence,...
Exudates are one of the abnormalities present on the retina which are used for identification of diseases like Diabetic Retinopathy and Macular Edema. There arises a need for automated and correct segmentation of exudates from digital fundus images. This paper proposes an automated computer vision technique for efficient exudates segmentation from fundus images. The proposed method segments the exudates...
Optic disc segmentation is a crucial step in diagnosis of various ocular diseases like Glaucoma and Diabetic Retinopathy. This work proposes a technique for automatic detection of optic disc from the fundus images using edge based and active contour fitting method. The proposed work has used image processing techniques such as smoothing filters for removal of blood vessels, morphological operations...
We present a new method to correct perspective and geometric distortions as well as to segment and refine page frames, presented in document images of paperback books. The proposed digitization process of paperback books is just like the process of scanning. Unlike traditional methods, our method is independent of document contents and does not need additional hardware or multiple images or luminance...
Indonesia is one of ten countries with the highest diabetic prevalence. It becomes a concern of the government because aside from personal health, this disease also has social and economic impacts since it causes a decrease in productivity. One complication of this disease to the patient is impaired vision is diabetic retinopathy (DR). In order to prevent further development of DR, early detection...
This paper has proposed a new method that integrates the advantage of optical image for delineating land surface boundaries and the superiority of PolSAR data for obtaining corn information despite bad weather conditions. The comparison between the proposed method and both pixel- and object-based method was made to test their performance for corn classification. The analysis shows that the proposed...
An automatic algorithm for forest road identification and extraction was developed. The algorithm utilized Laplacian of Gaussian (LoG) filter and slope calculation on high resolution multispectral imagery and LiDAR data respectively to extract both primary road and secondary road segments in the forest area. Also, a hierarchical post process was designed to iteratively connect the road segments to...
The image registration is one of the key steps to achieve three-dimensional (3D) localization and the other image fusion processes. This article presents a registration method based on the combination of edge feature and corner feature. The processing steps include image segmentation, corner detection, edge detection, extraction of interested region, and correspondence points matching. The algorithm...
Due to the different imaging modalities and acquisition time, keypoint-based registration methods often suffer from false matches of keypoints while utilizing to register the optical remote sensing images from multi-sensors. In this paper, we proposed a novel method based on Line-Point Invariant for the multi-sensor image registration. First, the line segments of the images are extracted, and then...
In recent times biometric identification has become a very important part of secure identification. Biometrics are certain characteristics unique to an individual. Various biometric identifications include DNA, Finger prints, Iris, Retina, Voice, Face etc. The proposed method uses retinal vasculature for biometric identification. This method uses 2D Gabor Wavelet transform to enhance blood vessels...
Diabetic retinopathy is a health problem that most widespread cause of vision damage in developed countries. Early recognition of Diabetic retinopathy is very important for saving vision pairment and for effective treatment. Exudates are the symptoms of DR. Many approaches in literature are discussed on segmenting the exudates. This paper has shown different techniques of exudates segmentation with...
Optic disc segmentation is a key element in automatic screening systems, which facilitates the detection of lesions that affect the interior surface of the eye (i.e. fundus). Therefore, this paper aims to provide a fully automated technique for detecting and segmenting the optic disc. First, the fundus image is preprocessed in order to estimate the approximate location of the optic disc, excluding...
Real-time and accurate detection of the sailing area or water area is an enabling technique for an unmanned surface vehicle (USV) system. However, research on water line detection based on optical images is rare, and current water line detection method is difficult to be used in real application. An automatic water line detection method based on optical images is proposed and validated with a practical...
Character recognition from scanned images is a very complex task. But as for record keeping we require all the data in digital format to perform various manipulation operations. The main issue in case of character recognition is the different styles and fonts in which the text is written. We proposed a new approach by using the concept of Artificial Neural Network and Nearest Neighbour approach for...
Glaucoma and Diabetic Retinopathy are the leading common cause of vision loss. Optic Disc and macula are the important landmark for the detection of these retinal pathology. Even though, the manual screening of Optic Disc and macula are available, they consume more time and have more human error. Therefore, there is a need of an automated application for the reliable and efficient localization of...
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