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Computed tomography images can be corrupted by mixed noises such as Gaussian and impulsive noise during acquisition time which results in reduction of its quality. Hence removing the noise from the image is very significant in medical image processing. The existing filters such as mean and median filter are not that efficient in removing impulse and Gaussian noise by retaining the details of the image...
Lung cancer is one of the fatal diseases that mainly affect the pulmonary nodules of the lungs. Examination of image is presently an essential step of the lung diseases processes like diagnostic, prognostic and follow-up. The survival rate of lung cancer is very low when compared with all other types of cancer. The need for identifying lung cancer at an early stage is very essential and is an active...
Degraded character recognition is one of the most challenging topic in the field of Kannada character recognition. The degraded characters which are broken and deformed will have missing features and will be difficult for any recognition method. Rebuilding the degraded character is very important for better recognition. This paper proposes a novel method to rebuild the broken characters. These characters...
Magnetic Resonance Angiography (MRA) is a group of techniques based on Magnetic Resonance Imaging (MRI) to image blood vessels. Compressed Sensing (CS) is a mathematical framework to reconstruct MR images from sparse data to minimize the data acquisition time. Image spar-sity is the key in CS to reconstruct MR images. CS technique allows reconstruction from significantly fewer k-space samples as compared...
Unmanned Air Vehicles (UAVs) have become an intelligent asset for surveillance, target tracking and reconnaissance in both urban and battlefield settings. This paper gives a framework for scale weight selection during feature extraction in aerial images from UAV. Dual-Tree Complex Waveform technique is used to extract rich feature descriptors of keypoints in images so that full phase and amplitude...
Recognition of degraded characters is a challenging problem in the field of document image analysis. Two main reasons for degradation of characters are due to noise scanning and intrinsic degradation caused by font variations. The degradation of characters is mostly in the form of characters being broken at several places which hinders their recognition of OCR systems. Many OCRs have been designed...
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