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Glaucoma is the major cause of ocular damage and vision loss in which increased Intraocular Pressure (IOP) of the eye progressively damages the optic nerve. In this proposed study, an automatic system is developed for glaucoma detection by extracting various features like vertical Cup to Disc Ratio (CDR), Horizontal to Vertical CDR (H-V CDR), Cup to Disc Area Ratio(CDAR), and Rim to Disc Area Ratio...
Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye related disease such as glaucoma and diabetic retinopathy. In this paper, we have presented a robust methodology for optic disc detection and boundary segmentation, which can be seen as the preliminary step in the development of computer-assisted diagnostic system for glaucoma in retinal images...
Glaucoma is a non-curable optic disease which can cause irreversible blindness if not detected at early stage. Progression of glaucoma occurs due to an increase in intraocular pressure and results in the damage of optic nerve. Progression of glaucoma can be stopped if detected at an early stage. There are no early symptoms of glaucoma and the only source to detect glaucoma at an early stage is the...
This paper proposes a method to detect optic disk (OD) automatically in fundus image of retina without using background mask and blood vessels. Based on the properties of OD, an idea of curve operator is presented here. This method has been implemented on three public databases and the promising results are obtained. The experimental results indicate that this proposed method of automatic OD detection...
In this paper we propose an adaptive feature-based matching algorithm. The model based on extracting features from stereo images and matching those features in corresponding images by using window-based, the window size is selected based upon optical flow algorithm. The disparity map is then generated for 3d modeling. The model was tested on a set of stereo images which shows significant results compared...
Glaucoma is currently one of the major causes of vision loss worldwide. Though the lost vision capability cannot be recovered, preventive steps such as clinical diagnosis and necessary treatment can be taken in order to minimize visual impairment due to glaucoma. The process of clinical diagnosis needs manual examination and outlining of the optic disc and cup, which is subjective and time consuming...
Character recognition research is one of the most challenging research areas which put many of the research areas of Digital Image processing like Noise Removal, Machine Learning, and Object Recognition under one roof. If we focus on India particularly, the field has huge amount of work to be done. In current technological era OCR systems for Indian scripts has great application opportunities with...
A new methodology to perform classification of multisource data is proposed in this work. The technique takes into account the classification results (a classified image and an uncertainty map) derived from each data source in order to generate a new classified image. It is based on a region-based classifier which employs stochastic distances, statistical tests and reliability of the classification...
Optical Character Recognition (OCR) is the process of translating images of text into a comprehensible machine format. Generally, an OCR system is composed of binarization, segmentation and recognition stages. Given an extracted binary character, the recognition stage ensures its description and decides its corresponding ASCII code. In this paper, we propose a new OCR system that aims to high speed,...
Optic disc is one of the fundamental regions located in the internal retina that helps ophthalmologists in analysis and early diagnosis of many retinal diseases such as optic atrophy, optic neuritis, papilledema, ischemic optic neuropathy, glaucoma and diabetic retinopathy. An accurate and early diagnosis requires an accurate optic disc examination. Presence of different retinal abnormalities and...
In this paper we present an algorithm that can discriminate between standing and fallen silhouettes in video sequences acquired by a fish-eye camera, in order to detect falls in an indoor environment. The proposed algorithm exploits the model of image formation that is based on the spherical projection to derive the orientation in the image of elongated vertical structures. The algorithm does not...
Granules locate in the solar photosphere and are bright cellular patterns, which are surrounded by dark intergranular lanes. They are viewed to be the visible manifestation of the solar convective zone. Studying the cellular patterns is important to understand the convective motions in the solar photosphere. In this paper, we presented a new method based on phase congruency technique for identifying...
Magnetic Resonance Imaging plays a pivotal role in pre-surgical evaluation of patients with intractable epilepsy. Research on optimal segmentation process from MRI brain images was carried out. The methods such as K-Means and Fuzzy C Means were done for segmentation of White Matter, Gray Matter and Cerebro-Spinal Fluid tissues. Clustering technique is a neighborhood attraction, which is dependent...
Dense correspondence computation is a critical computer vision task with many applications. The most existing dense correspondence methods consider all the neighbors connected to the center pixels and use local support region. However, such approach might only achieve a locally-optimal solution.In this paper, we propose a non-local dense correspondence computation method by calculating the match cost...
Glaucoma is a widespread ocular disorder leading to irreversible loss of vision. Therefore, there is a pressing need for cost-effective screening, such that preventive measures can be taken. This can be achieved with an accurate segmentation of the optic disc and cup from retinal images to obtain the cup-to-disc ratio. We describe a comprehensive solution based on applying convolutional neural networks...
Structural analysis of the vascular architecture of the retina facilitates the diagnosis of retinopathy because retinopathy affects the blood flow velocity. To this end, blood flow velocity in the major temporal arcade (MTA) vessel in retina may be measured to detect blood flow velocity changes. For this measurement, separation of the MTA vessel is a necessary step. We propose methods for identifying...
In this paper we present a method to segment RGBD image of a scene into coherent and meaningful parts using both the appearance features and depth information. The segmentation method is totally based on graph cuts theory which uses our proposed unsupervised Conditional Random Field (CRF) model. We evaluate our method both quantitatively and qualitatively on a set of RGBD images of NYU dataset. The...
In this paper we present two type of real time water velocity measurement system, first contact type water velocity measurement and another is non-contact type water velocity measurement system. In contact type, Hall Effect water flow sensor is used as a sensing unit, as water flows through that sensor, it gives corresponding pulse signal, By counting number of pulses from the output of the sensor,...
Given a video, there are many algorithms to separate static and dynamic objects present in the scene. The proposed work is focused on classifying the dynamic objects further as having either repetitive or non-repetitive motion. In this work, we propose a novel approach to achieve this challenging task by processing the optical flow fields corresponding to the video frames of a dynamic natural scene...
The paper describes our work on the segmentation of the optic disc in retinal images. Our approach comprises of two main steps; a pixel classification method to identify pixels that may belong to the optic disc boundary and a circular template matching method to estimate the circular approximation of the optic disc boundary. The features used are based on texture, calculated using the intensity differences...
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