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 presence…
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 diagnosis…
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 of…
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 an…
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 itinerary…
Automatic Itinerary Planning for Traveling Services Abstract?Automatic Itinerary Planning for Traveling 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 < Final Year Projects > each specific customer. Previous efforts address the problem by…
Automatic localization and segmentation of optic disc in fundus image using morphology and level set Abstract? Optic disc (OD) localization and segmentation are important in developing systems for Automated diagnosis of various serious ophthalmic pathologies. A new, fast and robust methodology for fully automatic localization and segmentation of the optic disc in fundus images. This…
Automatic Memory Control of Multiple Virtual Machines on a Consolidated Server Abstract?Through virtualization, multiple virtual machines can coexist and operate on one physical machine. When virtual machines < Final Year Projects 2016 > VMs compete for memory, the performances of applications deteriorate, especially those of memory-intensive applications. In this study, we aim to optimize memory…
