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Facial expressions are the facial changes in response to a person's internal emotional states, intentions or social communications. In this paper, we fulfill the recognition of facial action units, i.e., the subtle change of facial expressions, and emotion-specified expressions. Our automatic facial expression analysis system includes face detection, facial component extraction, tracking and representation,...
An automated dental identification system (ADIS) for human identification in forensic dentistry requires automatic recognition of teeth in dental images. In this paper, we propose a multi-stage technique to classify teeth in multislice CT (MSCT) images. The proposed algorithm consists of the following three stages: segmentation, feature extraction and classification. We segmented the teeth based on...
Segmentation of liver in CT images is regarded as a challenge in image processing due to low-contrast of datasets, variety of liver shape, and its non-uniform texture; especially for abnormal cases. In this paper, we deal with normal and abnormal datasets as images containing two or more Gaussian components. We threshold a slice in a narrow band of each mode, find liver pixels based on a priori knowledge,...
Drowsiness detection is vital in preventing traffic accidents. Eye state analysis-detecting whether the eye is open or closed-is critical step for drowsiness detection. In this paper, we propose a new algorithm for eye state analysis, which we incorporate into a four step system for drowsiness detection: face detection, eye detection, eye state analysis, and drowsy decision. This new system requires...
A computational framework is presented for 3-D liver shape approximation and characterization in order to determine the accuracy of shape reconstruction via Spherical Harmonics expansion. Spherical Harmonics is a powerful mathematical tool for expanding the shape. But in medical domain, livers have very variation geometry, in shape, size, and volume. In this regards, we evaluated and optimized the...
The differential counting of white blood cells provides invaluable information to hematologist for diagnosis and treatment of many diseases. Manually counting of white blood cells is a tiresome, time-consuming and susceptible to error procedure. Due to the tedious nature of this process, an automatic system is preferable. In this automatic process, Segmentation of white blood cells is one of the most...
Drowsiness detection is vital in preventing traffic accidents. Eye state analysis - detecting whether the eye is open or closed - is critical step for drowsiness detection. In this paper, we propose an easy algorithm for pupil center and iris boundary localization and a new algorithm for eye state analysis, which we incorporate into a four step system for drowsiness detection: face detection, eye...
Automatic recognition of white blood cells in hematological can be divided into four major parts: preprocessing, image segmentation, feature extraction and classification. Due to the multifarious nature of these cells and uncertainty in the hematological images, segmentation of white blood cells is one of the most important stages in this process. A scrupulous segmentation obviously reduces errors...
Many of diseases related to red blood cells can be diagnosed by analyzing the hematological images. The first step is to locate precisely the position of red blood cells. In this paper, a novel method based on polar transformation and run-length matrix is proposed for detecting red blood cells in hematological images. The multilayer perceptron was employed for classifying the feature vectors. This...
One of the most important stages of virtual colonoscopy is colon segmentation, since an incorrect segmentation may lead to a misdiagnosis. Geometric deformable models (GDM) are found as efficient and attractive tools for structural based segmentation in particular to extract objects with complicated topology. There are two parameters influencing the overall performance of GDM algorithm; the distance...
In this work we develop a fast facial expression recognition system based on cross correlation with low complexity by proposing a method that does not need face detection for facial points tracking. Moreover, our simple feature selection according to the facial characteristics differentiates between the six basic expressions (happiness, surprise, sadness, disgust, fear and anger). In this system,...
In this paper, the authors propose a new procedure for copyright protection by using a bio-inspired wavelet based data hiding approach. The proposed method takes advantage of human visual system (HVS) characteristics to provide better watermarked image quality. It also exploits visual secret sharing (VSS) technique to guarantee the security of the procedure. Performance improvement with respect to...
In this work we develop a fast facial expression recognition system with low complexity by proposing a method that does not need face detection for facial characteristics tracking. Moreover, our simple feature selection differentiates between the expressions and accelerates the systempsilas performance. In this system, selected facial feature points from the first frame to the last are tracked automatically...
In ubiquitous multimedia applications, color images are the basic components of multimedia systems. Although many research has been devoted to develop proper watermarking procedures using multiresolution-based transformation, most of these investigations faced the watermarking problem from a gray scale point of view. In this paper, different color spaces which commonly used to represent color images...
Although many researches have been devoted to the development of proper watermarking procedures using multiresolution-based transformation, most of these investigations encounter watermarking problems from a specific point of view. Therefore, there is a lack of a general investigation dedicated to the study of parameter selections and their impacts on the transparency and robustness of the final watermarked...
In this research, we propose a multi-step method for automatic segmentation of the hip femoral and acetabular cartilages from CT images. Differentiation of the acetabular and femoral cartilages in conventional CT images due to very narrow space and low intensity of the articular space is very difficult. For this reason, MRI of the hip under continuous leg traction is the choice for assessment of the...
In this paper, the authors propose a new procedure for copyright protection by using a bio-inspired wavelet based data hiding approach. The proposed method takes advantage of human visual system (HVS) characteristics to provide better watermarked image quality. It also exploits visual secret sharing (VSS) technique to guarantee the security of the procedure. Performance improvement with respect to...
Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for assessing biochemical fingerprint of tissue composition. The need to differentiate between normal and abnormal tissues and determine type of abnormality before biopsy or surgery motivated development and application of MRSI. There are several technical reasons that make the brain easier than other organs to be examined...
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