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Land masking is one essential preprocessing technique for ship recognition from synthetic aperture radar (SAR) images. This paper presents a novel land masking procedure based on wavelet transform(WT). Low-pass (L-P) images for several wavelet scales are produced. Two wavelet correlation criteria are developed to fuse useful information at multiple scales. The first criterion makes land segmentation...
Dental cysts are usually caused due to root infection involving the tooth affected greatly by carious decay. The most common forms of dental cysts include Ameloblastoma, Keratocyst and Dentigerous cyst. The treatment is planned based on the type of cyst. Differentiating Odontogenic Keratocysts and Ameloblastomas from other cystic lesions in the maxillomandibular region is crucial because of their...
This paper details an approach for novel video viewing experience on small-screen mobile devices. Users are allowed to choose a region-of-interest via a touch-based gesture, following which a virtual camera algorithm takes control in order to automatically zoom and pan within the video scene. The selected region-of-interest is kept within a retargeted viewport despite change in the position of the...
Traffic light recognition is a key technology for intelligent vehicles and Advanced Driver Assistance Systems (ADAS). This paper proposes a multi-feature fusion based real-time traffic light recognition algorithm for intelligent vehicles. In the region of interest determined by the vanishing line, technologies including color segmentation, blob detection, and structural feature extraction are employed...
In 3D video (3DV) and free-viewpoint video (FVV), it is vitally important to detect the errors and assess depth quality. However, since ground-truth depth maps are often unattainable, assessing depth quality without reference becomes an imperative task for many applications. This research considers the texture-plus-depth format in 3DV and FVV, and focuses on the misalignment error at depth discontinuities...
This paper presents a robust real time feature based algorithm for localization and recognition of multiple color and font style license plates. The algorithm uses digitized license plate images for robust detection and recognition. The resolution of the captured image is adjusted and the brightness and contrast are set to appropriate levels. An optimal threshold is applied to detect white regions...
State-of-the-art techniques for measuring and monitoring gene level expression rely on messenger RNA (mRNA) extraction and quantification, usually based on the concept of reverse transcription polymerase chain reaction. In this paper, we take advantage of capabilities of image segmentation algorithms for monitoring target cell surface biomarkers using immunofluorescence microscopy. As a case study,...
The intima-media thickness (IMT) of the common carotid artery (CCA) is a well-known indicator of cardiovascular disease (CVD). The objective of this study was to investigate the application of texture analysis of the medial layer (ML) of the CCA, and how texture features vary between the left and right carotid sides, as well as how these are affected by CVD. The study was performed on 200 longitudinal-section...
In order to solve the problem of large amount of calculation of UAV image mosaic algorithm, this text put forward a kind of image mosaic algorithm based on edge extended phase correlation. First use the iterative threshold segmentation method to detect the image edge, then carry on the extended phase correlation calculation on the detected edge, thus can obtain the image translation, rotation and...
The different reflection or absorption characteristics of ground targets at different wavelength lead to diverse energy distribution among band images of hyperspectral images (HSIs). In this paper, we propose a sparse representation of HSIs using learned multi-scale dictionaries with the help of the distinctive physical characteristics. First, each band is cut into patches of different size using...
This article looks at combining the Curvature Scale Space (CSS) shape matching algorithm and the Watershed Algorithm with the aim of creating a simple yet effective leaf identification software. The CSS shape matching algorithm solves the problems of: • Leaf self-intersection — Parts of a leaf overlap. • Leaf rotation — Images that are rotated. • Leaf variation — No two leaves are the same. The Watershed...
For any automated image analysis process, the segmentation is an important task because all subsequent tasks in image processing heavily rely on the quality of image segmentation. It determines the eventual success or failure of the analysis. The problem in image segmentation occurs when an image has a varying gray level background. There are several algorithms and methods are available for image...
Feature selection plays a key role in identifying and diagnosing breast cancer using computer vision in the mammography which affects the design performance of classifier. This paper introduces for the first time a new fuzzy feature selection approach which utilises fuzzy curve and fuzzy surface to select features from mammogram images. The approach utilizes fuzzy curve to isolate a small set of significant...
Scene text extraction, i.e., segmenting text pixels from background, is an important step before the text can be recognized. It is a challenging problem due to the cluttered background and the variation of lighting. In this paper, we propose a seed-based segmentation method that can automatically judge the text polarity, extract seed points of text and background, and segment texts by semi-supervised...
An automated image registration method is proposed for registration of digital whole slide scans of adjacent tissue sections. An example workflow is where a pathologist annotates a tumor region in a primary (H&E1) stained image and the corresponding regions, in nearby sections, stained with other biomarkers, are identified and analyzed for aiding in clinical diagnosis. The different markers convey...
Pleural thickenings, which are an indicator for pleural mesothelioma, can be detected and analyzed using thoracic CT-data. They may cover a large area on the pleura surface and can have complex morphologies. Image noise, small deformations and especially the unclear boundary can significantly influence the segmentation process. Two independent segmentations from two points in time might independently...
Multichannel microscopy has emerged as a technique for imaging multiple targets (molecules, protein distributions, etc.) simultaneously. Discovering the relative changes in these targets (i.e. distribution of different proteins) is fundamental for understanding cell structure and function. We describe a new method for quantifying and visualizing relationships between multiple targets, from a set of...
Biometric technology deals with recognizing the uniqueness of individuals based on their exclusive Physical or behavioral characteristics. The developments in science & technology have made it possible to use biometrics in application when it is required to establish (or) confirm the identity of persons. Amongst a range of method, Iris recognition is a hastily intensifying technique of biometric...
In the proposed watermarking scheme, watermark is embedded by re-positioning some selected vertices. The selection of vertices for watermark embedding is based on the secure code obtained from a secure image and cryptographic hash function(MD5). Watermarking by re-positioning is attained by restricting the vertex re-positions only by changing ρ component of (ρ,θ,ϕ) spherical coordinate of vertices...
Face detection has been the most important phase in identifying facial expressions. To detect a face has been more difficult and since then more methods have been evolving to simplify the task. One such method is to first segment the image based on the skin area and then to detect the face. The approach of this paper is to segment facial region based on L∗a∗b color model, apply some efficient parameters...
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