Showing 1–12 of 15 results
Approximate DCT Image Compression using Inexact Computing Abstract-This paper proposes a new framework for digital image processing; it relies on inexact computing to address some of the challenges associated with the discrete cosine transform (DCT) compression. The proposed framework has three levels of processing; the first level uses approximate DCT for image compressing to eliminate…
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 Lung Segmentation With Juxta-Pleural Nodule Identification Using Active Contour Model and Bayesian Approach Abstract-Chest computed tomography(CT) images and their quantitative analyses have become increasingly important for a variety of purposes, including lung parenchyma density analysis, airway analysis, diaphragm mechanics analysis, and nodule detection for cancer screening. Lung segmentation is an important prerequisite step for…
Bacterial Foraging Optimization Based Radial Basis Function Neural Network (BRBFNN) for Identification and Classification of Plant Leaf Diseases: An Automatic Approach Towards Plant Pathology Abstract-The contribution of a plant is highly important for both human life and environment. Plants do suffer from diseases, like human beings and animals. There is the number of plant diseases…
Computer Aided Detection of Ischemic Stroke using Segmentation and Texture Features Abstract-Computed tomography images are widely used in the diagnosis of ischemic stroke because of its faster acquisition and compatibility with most life support devices. This paper presents a new approach to automated detection of ischemic stroke using segmentation, mid-line shift and image feature characteristics,…
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue from Non-Contrast CT Abstract-Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a timesaving and reliable tool for cardiovascular risk assessment. We propose a new fully automated deep learning…
Fast Superpixel Based Subspace Low Rank Learning Method for Hyperspectral Denoising Abstract-Sequential data, such as video frames and event data, have been widely applied in the realworld. As a special kind of sequential data, hyperspectral images (HSIs) can be regarded as a sequence of 2-D images in the spectral dimension, which can be effectively utilized…
Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images Abstract-The popularity and the appeal of systems which are able to automatically determine the gender from face images are growing rapidly. Such a great interest arises from the wide variety of applications, especially in the fields of retail and video surveillance. In recent…
Gallstone Segmentation and Extraction From Ultrasound Images Using Level Set Model Abstract-Gallstone is a high incidence of gallbladder disease, especially in the northwest of China. Segmentation and extraction of gallstone from an ultrasound image is prerequisite for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound…
Glaucoma Detection from Fundus Images using MATLAB GUI Abstract-A troublesome disease in which damages of the optic nerve of eye?s is nothing but the glaucoma, which causes irretrievable loss of vision. Glaucoma is a disease where if treatment is get late, the person can blind. Normally glaucoma detects when there is an increase in the…
Low-Dose CT Image Denoising using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss Abstract-The continuous development and extensive use of computed tomography (CT) in medical practice has raised a public concern over the associated radiation dose to the patient. Reducing the radiation dose may lead to increased noise and artifacts, which can adversely…
Matching the Sketched Images with Mugshot Images Abstract– Input: The face image dataset are implemented as input image. The input images are taken in the format .jpg or .png Preprocessing: The collected input images are subjected to preprocessing. In the Preprocessing step we can implement the image resize and noise filtering are performed. Face detection…
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