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Malaria remains a public health problem in Indonesia. There are still many deaths caused by malaria, particularly in eastern Indonesia. There are two types of blood perform in malaria, thick blood film and thin blood film. In Indonesia, thin blood film is used more frequently than thick blood film. Malaria parasites can be found in thick blood film rapidly due to the higher volume of the blood used...
This paper proposes a promising new approach to detect underwater threats in side scan sonar (SSS) images without machine learning procedure. Although object detection requires high reliability, the maritime environment changes unpredictably and dynamically. In order to accomplish high reliability for object detection systems, a huge number of the samples under various different environments are required...
In this paper, Histograms of Orientation Gradient (HOG) algorithm is used to identify the static hand gestures. Experimental results show that HOG descriptor is a better shape descriptor than existing feature sets for gesture recognition. The overall algorithm has only three main steps; pre-processing, feature extraction and classification. It completely omits the segmentation phase. SVM is used for...
Object recognition and pose estimation from RGB-D images are important tasks for manipulation robots which can be learned from examples. Creating and annotating datasets for learning is expensive, however. We address this problem with transfer learning from deep convolutional neural networks (CNN) that are pre-trained for image categorization and provide a rich, semantically meaningful feature set...
Wireless capsule endoscopy (WCE) is a revolutionary imaging technique that enables direct inspection of the gastrointestinal tract in a non-invasive way. However, viewing the large amounts of images is a very time-consuming and labor intensive task for clinicians. In this paper, we propose an automatic bleeding detection method in the WCE images. We propose a two-stage saliency map extraction method...
This paper describes a new segmentation-based classification technique for fully polarimetric synthetic aperture radar (PolSAR) images. Based on the framework which conjunctively uses statistical region merging (SRM) for segmentation and support vector machine (SVM) for classification, we improve the method by jointly introducing texture features and color features. For the segmentation step, to guarantee...
Mars rover is a robot which explores the Mars surface, is equipped to front-line Panoramic Camera (Pancam). Automatic processing and segmentation of images taken by Pancam is one of the most important and most significant tasks of Mars rover since the transformation cost of images from Mars to earth is extremely high. In this paper, a new feature vector for image pixels will be proposed as well as...
In this paper, an approach to improve the spatial resolution of color video is presented. Such high resolution images are desired, for example, in video printing. Previous work has shown that the most important step in achieving high quality results is the accuracy of the motion field. It is well known that motion estimation is an ill-posed problem. However, in processing color video, additional information...
In any public gathering, to ensure the safety of the people during or after any kind of natural or man-made calamities, counting the number of people in a crowd is of paramount importance. In cases of unpredictable environments where occlusion, shadows, varied illumination and multiple objects in the background persists, many algorithms fail to give out accurate results. In this paper, to overcome...
A brief introduction to spatial-domain Super-Resolution methods, i.e. spatial resolution enhancement methods that create one high-resolution image from a series of low-resolution images shifted by a sub-pixel distance, is given. An improvement applicable to some of existing Super-Resolution methods is presented. Principles of digital photography processing techniques are exploited in order to reduce...
The use of Image data is growing tremendously in every field such as medical, engineering designs, fashion, interior designs, and education etc. For this growing need of image data, we also need to have an efficient and effective tool for its retrieval. This increasing need of content based image retrieval technique can be rising in a number of other different domains. In this paper the researcher...
Detection of markers for fixed-wing unmanned aerial vehicles play a crucial role in finding a runway to land, automatically. This is because the vehicles cannot land in limited area like rotor-wing UAV. Landing with the fixed-wing need to have a runway that is long and has a lot of symbols for demonstrating the landing point or touch down point. On the other hand, markers are difficult to be searched...
Wireless capsule endoscopy (WCE) is able to investigate the entire gastrointestinal tract including the small bowel. To reduce the reviewing time of captured images by gastroenterologists and increasing the accuracy rate for automatic detection of abnormalities, it is beneficial to remove regions which have less or no clinical information of small bowel texture (i.e., uninformative regions). In this...
Current work in identifying statistical features of EEG response to color stimuli suggests the possibility of classification of EEG frequency responses with relation to color. In this study, we used Independent Component Analysis (ICA) to isolate color related responses from other background scene related responses and a Support Vector Machines (SVM) to classify these color related responses per colors...
Though blood cell manipulation has been an interesting research area for many years, most of the techniques presented in literature produce poor segmentation results for images with high overlapped blood cells. In this paper, we introduce a fully automatic low cost and accurate system to identify four common types of anemia and report on blood cell count. The results of our system indicate a good...
Face Detection is a challenging task due to large variations in pose, illumination, occlusion, scaling and clutter. Face detection is the primary step in Face recognition. The important goal of efficient face detection system is to have negligible misclassification rate. A novel face detection technique using CbCr color model with Haar feature extractor and Adaboost classifier is proposed. The proposed...
We present an integrated approach for the calibration and registration of color and depth (RGBD) sensors into a joint coordinate system without explicitly identifying intrinsic or extrinsic camera parameters. Our method employs a tracked checkerboard to establish a number of correspondences between positions in color and depth camera space and in world space. These correspondences are used to construct...
This paper proposes a simple approach to split the clumps found in Histopathological Images. Watershed algorithm is generally used to segment and separate the clumps. Several studies have revealed that watershed algorithm suffer drawbacks leading to lesser accuracy in clump splitting. From the literature it is evident that most of the existing methods on clump splitting have been applied on binary...
We present an integrated approach for the calibration and registration of color and depth (RGBD) sensors into a joint coordinate system. Our application domain is 3D telepresence where users in front of a three-dimensional display need to be captured from all directions. The captured data is used to virtually reconstruct the group of people at a remote location. One key requirement of such applications...
Wireless Capsule Endoscopy (WCE) has become a great device in Gastrointestinal (GI) tract diagnosis, which can examine the entire GI tract, especially the small intestine without invasiveness and sedation. Bleeding in the digestive tract is a symptom of a disease rather than a disease itself. Hence the detection of bleeding is important in diagnosing many diseases. In this paper we proposes a novel...
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