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The accurate carotid plaques segmentation (CPs-S) is essential in the ultrasound (US)-guided carotid atherosclerosis diagnosis. In this work, we propose CAPSU: a completely automated method for CPs-S in US images. The core of the method is an innovative initialization procedure that exploits carotid wall motion analysis to automatically initialize a level-set segmentation algorithm. A strain analysis...
Current approaches to classification of left ventricular scar rely on manual segmentation of myocardial borders and manual classification of scar tissue. In this paper, we propose an novel, semi-automatic approach to segment the left ventricular wall and classify scar tissue using a combination of modern image processing techniques. We obtained high-resolution magnetic resonance angiograms (MRA) and...
Face is the primary index for imparting the identity. Automated face detection is one of the interesting field of research. Face detection of digital image has acquired much importance and interest in last two decades, which has applications in different fields. Computerizing the process needs many image processing methods. In this paper, a new face detection approach using color base segmentation...
Classification of normal liver and different types of tumors in the liver by using Computed Tomography (CT) imaging technique. The processing of image enhancement is done by using Contrast limited adaptive histogram equalization (CLAHE) algorithm. That enhanced images have a different view look for normal liver and both tumors. A number of parameters evaluations for the comparison between both types...
Seamless mosaic generation is a challenging issue in the field of image processing. Multi date and multi time images vary in terms of radiometry as well as geometry of viewing, this makes the task at hand more intricate. These variations are taken care of with the help of radiometrie normalization and geo-correction. In this paper an approach is proposed for mosaicing geo corrected images acquired...
Segmentation is a process for classifying different pixels which are in different range but color segmentation process of identifying the color of the pixel and segmenting the image into different color image. This color segmentation process is carried out by using WATERSHED algorithm which has been proposed earlier to identifying the pixels of same range and noise reduction process. This is applied...
Echocardiography provides information about size, shape, and function of heart to create the image. Apical four-chamber echocardiography can be obtained by placing the ultrasound probe at the apex of the left ventricle. Such view enables to analyze heart abnormalities. In this regard, chamber quantification is recommended to evaluate the heart volume by defining the endocardial border of the chambers...
In this paper, we demonstrate an effective method for automatic extracting clothing object from fashion photographs, an extremely challenging problem due to the non-uniform natural backgrounds, various types of apparel and different poses of human models. This method consists of three phases: (1) coarse clothing area localization by pose estimation and super pixel segmentation, (2) region-level image...
As one tool for structuring a massive volume of archived news videos based on their semantic contents, this paper proposes a method to detect scene duplicates from news videos. A scene duplicate is a pair of video segments taken at the same event from different viewpoints. Referring to the audio channel is effective to detect scene duplicates regardless of viewpoints, but it cannot be relied on when...
Saliency detection is an important task to detect humans' visual attention region, plenty of methods are proposed to solve it. Most of them use single level pixels or patches to reveal the structure of the given image. However, the complexity of background regions and the unevenness of foreground objects still challenge these methods. To distinguish the saliency object from the complex background...
This paper concerns a preliminary study of the relationship between survival time of both overall and progression free survival, and multiple imaging features of patients with glioblastoma. Simulation results showed that specific imaging features were found to have significant prognostic value to predict survival time in glioblastoma patients.
Concave region partitioning is valuable for object modeling and recognition. A key issue to the design of an efficient partitioning method is on the selection of cut points. In this paper, we propose to use imbalanced points in a region to characterize cut points in the contour of the region, motivated by the good corner nature of imbalanced points. Specifically, we formulate a concave region as a...
Connected components of edge pixels are valuable for many applications, e.g., Image segmentation, contour extraction, and text detection. However, a connected component of edge pixels may not form a simple curve due to the existence of bifurcation pixels, and thus limits its application in shape modeling. In this paper, we propose an approach to remove bifurcation pixels in an edge image, which let...
Breast density is considered as an important risk factor associated with the development of breast cancer. Breast and fibroglandular tissue segmentation is the main step to compute breast density in Magnetic Resonance Imaging (MRI). This study presents an automatic algorithm to segment breast and fibroglandular tissue in MRI. It is a difficult task due to bias field and similar signal intensity between...
In this particular paper we have described an algorithm for synergistic segmentation of endoscopie ulcer images of the patient. Suppose a small number of user-labeled pixels are given, then the rest of the image is segmented automatically by using a Grow cut method. User can keep a keen watch on the segmentation evolution and direct the algorithm with human input where the segmentation is difficult...
In this paper, a method for 3D medical image segmentation is presented. This method is used to detect brain tumor in MRI images by combining Clustering and Classification methods to decrease the complexity of time and memory. In the first phase, non-negative matrix factorization with sparseness constraint method is used to separate the region of interest from the image. In the second phase, the classification...
Face shape is also important information for glasses design companies. In this paper, we proposed a non-contact method to classify the face shape by using Support Vector Machine (SVM) technique. This algorithm consists of three steps: head segmentation, face plane identification, and face shape classification. First, as whole 3D body data is captured and used as input of system, Eigenvector is used...
This paper presents a method for compressing Polarimetric SAR data based on EZBC which assigns different bit rates for background and foreground regions. First the Polarimetric SAR data would be segmented using HAα method and then based on desired region and background regions, the whole image would be compressed with two different bit rates. The results show that the ROI can be recovered with high...
Rare colored capsule (RCC) is the capsule which is mixed in the normal product but with different color. To detect this kind of capsules online, a method based on RGB color space and using HSV color difference formula is proposed in this paper. Considering HSV color space with more balanced color-difference perception, the original RGB formatted capsule image is transformed to HSV color space for...
Vehicle Video detection is an important part of intelligent transportation system for its characteristics of effectiveness and accuracy, and it provides important data for the security of urban traffic operation. However, in order to improve the reliability of vehicle detection in the traffic video detection system, in this paper, a pulse-coupled neural network (PCNN) is used for the image segmentation...
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