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From the series of digital X-ray images we extracted bone edges using information entropy based edge detection algorithms. The extracted edges are series of two dimensional coordinates from image space. The space series were tested for shapes of medical interest inside the knee joint. In particular, the existence of straight edges inside the knee joint was tested for by using digital filtering and...
In video surveillance, moving object detection has become one of the core techniques to understand video content. Many detection methods exist to detect objects, but cannot effectively compensate for the effect of shadows or incomplete shapes of moving objects. In this paper, we apply image bit-planes and hysteresis thresholding to compensate for the loss of spatial and temporal information. The experimental...
In this paper, we discuss some of the key contributions in the current decade related to image retrieval and automated image annotation. General content-based image retrieval (CBIR) also could be improved by the proposed approach in a similar manner as text-based retrieval is improved. In this case no text information is available, but only visual features are used. The CBIR identifies relevant articles...
This paper presents a robust method of local deformation analysis of the heart's left ventricle (LV) aimed at specifying the affected area. Our method is based on regional curvature variation calculation using the Hotelling T2 two samples difference metric. It has been validated with real data obtained from myocardial scintigraphy imaging techniques of 44 patients. For each patient we extract 3D surfaces...
Face Recognition is one of the most popular and powerful method of identification of the Face Recognition Systems. The identification is very important to identify the Images, Video, Graphics and Blurred and Noisy Images, Video and Graphics. Face identification has received substantial attention from researchers in face recognition, pattern recognition, biometrics, computer vision, and communities...
The brain tumor tissue detection allows to localize a mass of abnormal cells in a slice of Magnetic Resonance (MR). The automatization of this process is useful for post processing of the extracted region of interest like the tumor segmentation. In order to detect this abnormal growth of tissue in an image, this paper presents a novel scheme which uses a two-step procedure; the k-means method and...
With the enhancement of the technologies in medical sciences, it is becoming necessary to trace the object of interest, so need of boundary tracing techniques is increased. This paper provides a survey on graph based segmentation techniques which aim at extracting the boundary of object.
An important initial step in many medical image analysis applications is the accurate detection of anatomical landmarks. Most successful methods for this task rely on data-driven machine learning algorithms. However, modern machine learning techniques, e.g. convolutional neural networks, need a large corpus of training data, which is often an unrealistic setting for medical datasets. In this work,...
Ear feature extraction is a crucial step of ear biometrics. Image preprocessing and normalization of ear image are very important steps of ear feature extraction. Ear recognition system still facing the problem of noise on the ear image. In this paper we have implemented a simple method to extract ear features using image processing which minimizes the noise problem in ear image. We proposed simple...
This paper is dedicated to the development of a computer vision-based system for medication (pills and capsules) identification and counting in order to increase the productivity of medication dispensing and maintain its high safety. The algorithmic basis of the system is the attentive vision approach to robust and fast object detection in images. It consists in time-efficient image analysis by a...
For detection of oral potential malignant disorder (OPMD), devices such as VELscope, are potentially used in the oral cavity examination. The device area usually appears in the acquired images. A preprocessing stage, which consists of removing the device area, is required before the analysis of the images. In this paper we propose a method based on the Circular Hough transform (CHT) to detect auto...
We have reconstructed the blood vessel network by three-dimensional analysis of ultrasound Doppler-mode volume. However, reconstructed Doppler-mode volume has expansion and deficiency problem. On the other hand, it is possible to image B-mode volume simultaneously in the same coordinate space while imaging Doppler-mode volume. Thus, we propose a new reconstruction method of blood vessel network by...
In this paper, a novel fuzzy LBP model for extracting texture features from medicinal plant leaves is proposed. The proposed method is invariant to image transformations and independent of any threshold. Concept of hierarchical clustering based on inconsistency coefficient is used to produce natural clusters for a particular species capturing intra-class variations due to environmental conditions...
Kernel graph cuts is one of the most efficient methods for image segmentation. However, kernel graph cuts for medical image segmentation without prior information is inefficient, especial for MRI tumor image segmentation. This paper presents a kernel graph cuts algorithm with deformable priors, which can successfully seize clinical MIR image features. The proposed networks for graph cuts are tailored...
Segmentation of moving areas in high-speed biomedical video sequences captured by light microscope often contains some false-positive results which are generated by artifacts present in the image, e.g. air bubbles or red blood cells moving across the video. Such artifacts are common part of tissue samples under microscope. Moreover, if they closely interact with the objects of interest or they are...
Posterior cruciate ligament (PCL) is important for the knee stability. The problem seems to lie in the fact that it is difficult to segment the PCL from a magnetic resonance (MR) image. To reduce massive measurement time and subjective judgment error, this paper proposes a segmentation method of the PCL in knee joint from MR image and computed tomography (CT) image using anatomical information. In...
Computed Tomography Colonography (CTC) is a medical imaging and diagnosis procedure for finding the polyps of different shapes and sizes in large intestine using computer based software. Segmenting the colon exactly at the colon wall in presence of oral contrast used for fecal tagging and completely cleansed colon is an important prerequisite, based on which the measurement of polyp relies on. The...
This paper proposes methods to detect hemorrhages which are known as a kind of lesions in diabetic retinopathy. To detect the symptom, eye fundus structures (blood vessels and fovea) as well as microaneuysms need to be discriminated to filter out only the hemorrhages. Five processing steps are proposed based analysis on fundus images. First, preprocessing step is processed to improve the quality of...
In this study the fenugreek seed extract was used for biosynthesis of gold nanoparticles as a new method, The reduction reaction between aqueous chloroauric acid solution and fenugreek seed extract. In this research work, we developed a rapid and non-toxic method for the preparation of biocompatible gold nanoparticles by microwave irradiation. The nanoparticles were characterized by ultraviolet-visible...
Shape-based boundary representation is a critical component in medical imaging-based diagnosis system. Furthermore, accurate boundary representation is also essential in getting good segmentation, feature indexing and classification. This work concentrates on cervical vertebra distortion across the anterior boundary to detect anterior osteophytes and identify its severity. A suitable shape representation,...
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