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Pterygium is an eye related disease affected by the fibrovascular tissue that encroaches into the corneal region. Recently, image processing techniques have been explored in the development of pterygium detection system. An iris segmentation module is needed to develop an automatic pterygium detection system of the anterior segment photographed images (ASPI). Qualitatively, the invasion of the pterygium...
In the present work, a neoteric image segmentation technique has been framed, which is stood on color of the image using an unsupervised K-means clustering. The color image is converted into Lab (L=luminocity layer; a=chromaticity layer 1; b = chromaticity layer2) in various computational steps and each layer has its own importance. Clustering is a process to distinguish different kind of objects...
Computer assisted system has been implemented virtually in many domains within the field of medical imaging. An automated assessment system based on computer is important for early detection and diagnosis of various diseases. Moreover, image enhancement in medical imaging is a vital component in improving the quality of medical image, so that pre-screening of the disease can be carried accurately...
Nowadays in world diseases are increasing day by day and get affected in various form which lead to damage of some or other body part. Glaucoma and Diabetic Retinopathy [DR] are one of the factors of Eye diseases, which include vision loss. Image will undergo a standard method of applying image processing and mining technique to give exact identification of retinal category of Normal, Glaucoma and...
Urinary tract infection is one of the most common bacterial infection in humans and a major cause for outpatient consults. Spotting of pathogens in urine smears is taken to be the first clue that infection is present. In this paper, a new algorithm is proposed for color-feature extraction of microorganisms present in urine smear images. The proposed method was implemented on 60 test image samples...
Histopathological image understanding is a demanding task for pathologists, involving the risky decision of confirming or denying the presence of cancer. What is more, the increased incidence of the disease, on the one hand, and the current prevention screening, on the other, result in an immense quantity of such pictures. For the colorectal cancer type in particular, a computational approach attempts...
For the diagnosis of several retinal diseases, such as Diabetic Retinopathy (DR), Diabetic Macular Edema (DME), Age-related Macular degeneration (AMD) detection of macula and fovea is considered as an important prerequisite. If any abnormality like haemorrhages, exudates fall over macula then vision is severely effected and at higher stage people may become blind. In this paper a new approach for...
Single and fixed airborne ultrasonic frequency images are presented and used in many application areas, such as in medicine, industrial processes, for monitoring and fault detection and diagnosis. Airborne ultrasonic images have poor information content, mainly because of the transducers' uncertainty and the high absorption of ultrasounds in the air. This is the reason why we need some transformations,...
This paper aims to show an outline of transform Wavelet Daubechies, the main characteristics of them and subsequently exposed methodological form that was used in the development of experimental procedures were performed to apply RGB-HIS method together with ARSIS technique to fused WorldView-2 images, finally presents the results obtained with the application of this method using five filters associated...
In endoscopic procedures, surgeons work with live video streams from the inside of their subjects. A main source for documentation of procedures are still frames from the video, identified and taken during the surgery. However, with growing demands and technical means, the streams are saved to storage servers and the surgeons need to retrieve parts of the videos on demand. In this submission we present...
We have designed, fabricated, and tested a division-of-focal-plane polarimeter capable of simultaneously imaging both spectral and polarization information at 30 frames per second. The imaging sensor, composed of 1300 by 800 imaging elements, each containing three vertically stacked photodetectors, is covered by pixelated nanowire polarization filters at four different orientations offset by 45º....
Image colorization is method of adding colors to a graytarget image from multichrome source image. The proposed method performs automatic colorization using LBG codebook generation algorithm with assorted similarity measures for mapping of grayimage pixels with relatively analogous multichrome image pixels. The detailed performance assessment of the different similarity measures on the quality of...
Breast cancer is the most common cancer in women. Findings show that early detection of breast cancer can improve survival rate. Mammography is the standard method of diagnosing breast cancer; but Infrared Breast thermography is an imaging technique that provides information based on the temperature changes in breast. This information is precancerous alarms that may lead to tumor. Thermography helps...
This research proposes an Android application to estimate sambiloto (Andrographis paniculata) leaf's age from its estimated spectral reflectance using Wiener estimation. Sambiloto is one of Indonesia's popular medicinal plant. In order to use quality plants, a quality control method, such as lab tests, must be conducted. These lab tests require the destruction of leaf samples. One promising alternative...
The paper introduces the combination of algorithms for possibly the first bimodal biometric system capable of touch-less capturing of two biometric parameters, palm veins and palm creases, synchronously with a single image sensor. The architecture of the proposed system is based on the Detection, Alignment and Recognition pipeline. The ROI detection and alignment stages are simplified with efficient...
In this paper, a novel unsupervised method to segment retinal blood vessels from colour fundus images is proposed. A new vesselness measure is introduced which is based on detecting vessel centerlines and orientation in scale space. Based on this vesselness measure a generated ground truth (GGT) image is obtained by thresholding and removing segments of small sizes. The segmentation is obtained by...
The paper discusses about the content based image retrieval systems for biometric security. As image databases are growing at a rapid rate, demand for efficient and effective tools for retrieval of images increased significantly. Among them, content-based image retrieval systems (CBIR) have become very popular for browsing, searching and retrieving images from a large database of digital images. Biometric...
This paper discusses the offline signature recognition system in which features are extracted using Discrete Wavelet Transform (DWT) and Principal component analysis (PCA) and the artificial neural network (ANN) is used for the recognition of signature. ANN is used to recognize whether a signature is original or fraud. The user provide the scanned image of signature for computer database, modifies...
Segmentation is a process of partitioning the image into several objects. It plays a vital role in many fields such as satellite, remote sensing, object identification, face tracking and most importantly medical applications. Here in this paper, we here supposed to propose a novel image segmentation using iterative partitioning mean shift clustering algorithm, which overcomes the drawbacks of conventional...
Automated image processing and quantification are increasingly gaining attention in the field of digital pathology. However, a common problem that encumbers computerized analysis is the color variation in histology, due to the use of different microscopes/scanners, or inconsistencies in tissue preparation. In this paper, we present a novel color normalization technique to bring a histological image...
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