Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images Abstract? Automated detection of blood vessel structures is becoming of crucial interest for better management of vascular disease. In this paper, we propose a new in?nite active contour model that uses hybrid region information of the image…
Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd?Max Quantization Abstract? Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd?Max Quantization. A novel technique for un-supervised change analysis that leads to a method of ranking the changes that occur between two satellite images acquired at dif-ferent moments of time. The proposed…
Automatic Detection and Measurement of Structuresin Fetal Head Ultrasound Volumes Using SequentialEstimation and Integrated Detection Network (IDN) Abstract? Automatic Detection and Measurement of Structuresin Fetal Head Ultrasound Volumes Using SequentialEstimation and Integrated Detection Network. Routine ultrasound exam in the second and third trimesters of pregnancy involves manually measuring fetal head and brain structures in 2-D…
Automatic Detection and Segmentation of Crohn?s Disease Tissues From Abdominal MRI Abstract?We propose an information processing pipeline for segmenting parts of the bowel in abdominal magnetic resonance images that are affected with Crohn’s disease. Given a magnetic resonance imaging test volume, it is first oversegmented into supervoxels and each supervoxel is analyzed to detect…
Automatic Detection of Blood Vessels in Digital Retinal Images using Soft Computing Technique Abstract-Insulin-dependent mortals (humans) are attributed by blemished (defective) metabolism of glycogen (glucose) that leads to long lasting dysfunction and damage of an organ. The most prosaic (common) obstacle (complication) of diabetes is Diabetic Retinopathy, which is one of the predominant (primary) root…
Automatic Detection of Exudates in Diabetic Retinopathy Images Abstract? According to the increasing consumption of sugar materials in human life and growing trend of the machine life, the prevalence of diabetes is on the rise. It is observed all patients with this disease mostly suffer from decrease or loss their vision. For the automatic…
Automatic Detection of Exudates in Diabetic Retinopathy Images Abstract-Automatic Detection of Exudates in Diabetic Retinopathy Images. Ophthalmologists analyze fundus images of eye extensively as a non invasive diagnosis tool for various internal eye defects. Diabetic retinopathy is an eye complication specially seen in diabetic patients, causing damage to retina which may lead to blindness. The…
Automatic Exudate detection for the diagnosis of Diabetic Retinopathy Abstract?Ophthalmologists analyze fundus images of eye extensively as a non invasive diagnosis tool for various internal eye defects. Diabetic retinopathy is an eye complication specially seen in diabetic patients, causing damage to retina which may lead to blindness.< Final Year Projects > The major symptoms…
Automatic Image Annotation using Multi SVM Abstract?Image annotation is usually formed as a multiclass classification problem. Traditional methods learn the co-occurrence of keywords and images while they ignore the correlation between keywords, which turned out to be one of the reasons causing poor experiment results.< Final Year Project > In this paper, we propose…
Automatic Itenary palanning for Travelling Services. Abstract? Automatic Itenary palanning for Travelling Services. Creating an efficient and economic trip plan is the most annoying job for a backpack traveler. Although travel agency can provide some predefined itineraries, they are not tailored for each specific customer. Previous efforts address the problem by providing an automatic…
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