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The measurement of variation in characteristics of an organism is referred to as phenotyping, and using image data to extract phenotypes is a rapidly developing area in biological research. For studying host-pathogen interactions, 3D microscopy data can provide useful information about mechanisms of infection and defense. Performing research on a fungal pathogen of a plant, we recently developed methods...
Face emotions analysis is one of the fundamental techniques that might be exploited in a natural human-computer interaction process and thus is one of the most studied topics in current computer vision literature. In consequence face features extraction is an indispensable element of the face emotion analysis as it influences decision making performance. The paper concentrates on classification of...
A new method for segmenting white blood cells nuclei in microscopic images is presented. Challenges to accurate segmentation include intra-class variation of the nuclei cell boundaries, non-uniform illumination, and changes in the cell topology due to its orientation and stage of maturity. In this research, level set methods and geometric active contours are used to segment the nucleus of white blood...
Video summarization is the process to extract informative events of a video and represent in the condensed form. The paper proposes a new method for extracting important contents of a video for summarization using geometric primitives, such as line segments, angles, and conic parts. The primitives have the capabilities to represent complex shapes and structures of objects in a video frame. Therefore,...
Accurate and efficient segmentation of prostate is a significant but difficult task for numerous clinical applications like image-guided prostate intervention and detection of prostate cancer. In this paper, a novel landmark detection based prostate magnetic resonance imaging (MRI) segmentation method is proposed via a modified level set formulation with shape prior. Firstly, the medium slice of prostate...
We derive a means to construct a locally supported basis for the truly bivariate cardinal spline functions under the influence of parameter called tension being a different constant in each grid cell. First, the functions are formulated as a solution for a functional minimization problem. Then the associated differential equation is analyzed in the state-space representation to derive formulae for...
Recognition of humans based on characteristic eye features has taken a significant place in security and identification systems in the past two decades. The complex pattern of the iris, that is unique to an eye, makes iris a great biometric descriptor. The first step in the process of the biometric identification based on iris is its localization in an image. The shape of the iris, its size, position,...
Fast power line detection in images is useful in photogrammetry applications such as measuring wire tension and sag. To make these measurements, images of entire power line spans must be used which may include large amounts of curvature. Previous work in power line detection has focused on aerial or close proximity images where no power line curvature is visible. This paper assesses feasibility of...
This paper proposes the novel method which detect circles in an image by an approach of the template matching, not an approach of the Circle Hough Transform(CHT) voting edge points to the parameter space. The approach such as the Hough transform needs huge computing cost and huge memory. Furthermore, a lot of false circles are detected in a complicated background. In order to overcome these problems,...
We present a method for 3D tracking of deformable surfaces with dynamic topology, for instance a paper that undergoes cutting or tearing. Existing template-based methods assume a template of fixed topology. Thus, they fail in tracking deformable objects that undergo topological changes. In our work, we employ a dynamic template (3D mesh) whose topology evolves based on the topological changes of the...
Mammography is the main imaging technique for breast cancer diagnosis and prevention. Many image processing techniques though require the breast region to be adequately defined in order to provide reliable results. Pectoral muscle segmentation is one of the most challenging tasks in this domain since the limits between the muscle and the actual breast region are sometimes quite difficult to distinguish...
The objective of this paper is to analyze the research work in the field of content based image retrieval (CBIR). Content based image retrieval is very important filed for efficient image retrieval system. This paper focuses on the latest trends available and the methodology in the current research. Based on the study several result comparison and research gaps have been discussed. The discussions...
Circles detection is an important part of object recognition in image processing and computer vision. In this paper, we propose an adaptive method based on Hough transform to detect the circle shapes in digital image. The Mexican Hat filter derived from edge filter is used to concentrate the peaks of Hough local maxima. So, the circle center and its radius can be extracted easily and accurate. The...
Surface reconstruction from point set in 2-dimensional space reconstructs a polygon that best captures the geometric shape of the point set. Input point set can be divided into two types based on the type of sampling used. They are boundary sample and dot pattern. All the existing algorithms in the field of surface reconstruction from point set deals only with one kind of input point set, i.e either...
Given the challenges of manual operation, there is an impending need for automation of the baggage handling problem. Imparting sensory capabilities is important in the creation of intelligent robotic systems that can achieve this task. In this paper, we focus on vision as it is one of the dominant perceptual modalities. Specifically, we propose a part based edge alignment technique based on Chamfer...
Forest fire detection based on the satellite image is an important method for fire warning. In the early stage of the forest fire, smoke is a key feature to detect. But both the smoke and cloud are mist shape, which has similar shape. For most smoke satellite image, The smoke is in the shape of a strip, for this feature, an method using edge detection to recognize smoke and cloud has been proposed...
Image sharpness is an important aspect of image quality. It used to measure the degree of focus at the time of image acquisition. It also play an important role for video compression. Here, one new sharpness algorithm based on gradient shape is introduced in this paper. which is used for no-reference Image .The algorithm gets region of Interest in image firstly, then search the edge which can present...
A local orientation descriptor (LOD) for nutrition analysis by quantity estimation is proposed. By observing nutrition properties, a texture-based LOD is designed to extract discriminant information, frequency and length among food items. Prior to classification, food detection is a challenging problem due to significant variety of backgrounds and containers. Thus, three food region detectors are...
Driving behaviour prediction is a challenging problem due to the nonlinearity of human behaviour. Linear and nonlinear techniques have been used to solve this problem, and they provide good results presented in the performance of the current autonomous cars. However, they lack the ability to adapt to abruptness that happens because of the human factor. In this paper, we introduce a method to extract...
In the thick blood sample images, problems of red blood cells counting and their analysis given by optical method were considered. Algorithms, based on Canny approach to edge detection, have been developed and realized with the following circle determination in the images by Hough transformation. The experimental test results of the algorithms are presented.
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