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We present an implemented method for automated quantification of neuronal beading. Beading is the “morphological hallmark” of axonal injury and is present in many neurological disease conditions as well. In vitro models of injury result in beading which has previously been difficult to quantify, and therefore difficult to use as a measurement of the degree of axonal injury. The beading program was...
In recent years, there has been increased interest in characterizing and extracting 3D information from video sequences for object tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In this work, 2D features of a target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular...
In view of the Kirsch edge detection algorithm's shortage, a method of improved Kirsch human face edge detection was proposed. First, this method smoothed the original image with Gaussian filter, calculated its gradient image. Then, this method calculated the gradient image using the improved Kirsch algorithm, and extract edge according T1 and T2 two. Computer simulation experiments indicated that...
Introduction: Advanced Normalization Tools (ANTs) is an image registration program that has been validated for analysis of several tissues, but not previously applied to the disc. The objectives of this study were to optimize ANTs for disc image registration and to validate ANTs strain measurements by comparison with Vic2D, a commercially available software previously applied to quantify disc strain,...
For ideal color reproduction on Wide Gamut Displays, a multi-level gamut extension method is introduced. The proposed method includes varying nonlinear extension based on hue and image-dependent chrominance smoothing. The first step is global gamut mapping and solves heavily painted problem with hue-varying extension function. The second step is local gamut mapping and avoids over-contrast problem...
In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion. An Expert System is applied to predict next camera occurrence of the tracking human. The main objective of this work is to detect and track multi-human motion using single...
There are many websites specially designed for mobile phones. Some hackers write automated programs to abuse these website services and waste the website resources. Therefore, it is necessary to distinguish between human users and computer programs. Methods known for achieving this are known as CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart). CAPTCHA methods are...
In this paper, we present a novel steganographic method for embedding of secret data in still grayscale image. In order to provide large capacity of the secret data while maintaining good visual quality of stego-image, the embedding process is performed in transform domain of Discrete Wavelet transform (DWT) by modifying of transform coefficients in an appropriate manner. In addition, the proposed...
This paper presents a novel and robust approach to detect and follow a human with a mobile robotic platform. In order to follow a human, both the initial detection of human and the subsequent tracking need to be implemented. As the robot is initially static, initial human detection is done using a background subtraction technique. To remove the outliers objects, filters are formulated based on the...
Image segmentation plays a very important role in many image understanding and computer vision techniques. Over the last few decades image segmentation techniques have been advanced significantly, though a few quantitative evaluation techniques have been proposed. Most of the segmentation evaluation techniques are largely subjective that means the evaluation is done visually, intuitively or qualitatively...
Visual interpretation of SAR images plays a critical role in remote sensing applications. For obtaining the image suitable for human observation, a new method of visualization for SAR images is proposed in this paper. The proposed algorithm takes a negative exponential transformation on the original SAR image. The parameter of the transformation can be computed rapidly based on the characteristic...
Object tracking is a paramount task in video surveillance systems. Although many efforts have been accomplished on object tracking during the last years more work is still needed in order to generate more robust systems. A new fuzzy method for object tracking is presented in this paper. The proposed method is composed of two Sugeno type systems with weighted average memory output functions. One of...
We present a method for improving human segmentation results in calibrated, multi-view environments using features derived from both pixel (image) and voxel (volume) space. The main focus of this work is to develop a low-cost, vision-based system for passive activity monitoring of older adults in the home, to capture early signs of illness and functional decline and allow seniors to live independently...
The Human Protein Atlas (HPA) is a repository of location patterns of about 11000 proteins within tissues and cell lines. In this work we summarize some of our current work on analyzing immunohistochemical images of proteins within 7 distinct tissues. Firstly, we present our efforts to analyze spatial point patterns of protein staining and determine protein subcellular location from image-derived...
Facial rejuvenation has driven a lot of research in the field of dermatology and plastic surgery, leading to many medical procedures. This paper proposes an age prediction method that could be used to better understand the ageing process and to evaluate the benefits of a rejuvenating treatment, for example. A supervised Facial Model (SFM) is built using Partial Least Squares regression (PLSR) to capture...
This paper proposes a novel face recognition algorithm inspired by the selective attention of Human Visual System (HVS). We record four observers' eye movements when they are viewing 100 FRGC [1] frontal view face images and find that the observers are highly consistent in the regions fixated. Inspired by the fact that fovea of HVS has a much higher spatial acuity than the periphery, a face recognition...
In this paper, an automatic head-shoulder segmentation method for human photos based on graph cut with shape sketch constraint and border detection through learning is presented. We propose a new shape constraint method based upon graph cut for head-shoulder photos. First, a watershed algorithm is used to over segment the photo into superpixels; next, an iterative shape mask guided graph cut algorithm...
This contribution presents a method for automatic detection of excitatory, asymmetric synapses and segmentation of synaptic junctional complexes in stacks of serial electron microscopy images with nearly isotropic resolution. The method uses a Random Forest classifier in the space of generic image features, computed directly in the 3D neighborhoods of each pixel, and an additional step of interactive...
Primary ciliary dyskinesia (PCD) is a disorder characterized by sinopulmonary disease arising from ciliary motion defects in respiratory epithelia. An essential first step in the diagnostic evaluation of PCD is the use of high-speed videomicroscopy to analyze ciliary beat patterns in nasal epithelia biopsies. This includes a quantitative assessment of ciliary beat frequency (CBF, where CBF of <;...
The rapid assessment of how cells respond to pathologic, biological, environmental, and endogenous agents is critical for understanding how such responses may increase genomic instability, disease development and, ultimately, affect quality of life. Recently, we have applied the technique of DNA fiber analysis to increase our understanding of how DNA damaging agents influence DNA replication [1]....
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