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In this paper, a robust and efficient histogram based template matching method for automatic detection of Optic Disc (OD) in retinal images to help ophthalmologists for diagnosis of retinal diseases is presented. Based on camera field of view (FOV) and image resolution, the OD size estimation algorithm for creation of specific size templates is proposed. Color plane histograms of OD region were used...
Aviation industry is one of the areas which have a strong potential to benefit from Radio Frequency Identification (RFID) and the Internet of Things (IoT). The most common loopholes experienced in Aviation industry for Baggage Handling are mislaid baggage, lost baggage and damage to belongings. So for providing a better and secure system to the passengers, we have proposed a design of baggage tracing...
Segmentation of optic disk (OD) is a very important step in automatic Diabetic Retinopathy screening. In this paper, we presented a robust and novel template matching algorithm for automatic detection of OD in retinal images. The size of OD area depends on camera field of view and image resolution. Based on these criteria we formulated and presented OD size estimation algorithm and it is used to create...
The automated segmentation of blood vessels helps the ophthalmologist for early detection and possible treatment of retinal diseases. This paper presents a novel method for automatic segmentation of blood vessels using graph cut method. Initially, we applied mean filter, convolution by Gaussian kernel, shade correction and top-hat transformation as preprocessing steps for enhancement of blood vessels...
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