The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Content-based image retrieval, which is based on the principle of extracting image features and visual similarity based on these features, has been an active research area for the last two decades. While several kinds of features can be used for retrieval, colour features are the most widely and most successfully employed, and are hence at the heart of various image retrieval engines. However, it...
Compressive sensing is a new approach of sampling theory, which assumes that signal can be exactly recovered from incomplete information. It relies on properties such as incoherence, signal sparsity and compressibility, and does not follow traditional acquisition process based on transform coding. Sensing procedure is very simple, nonadaptive method that employs linear projections of signal onto test...
Mammographic image registration is an important step in the analysis of differences between the left and right breast in order to detect bilateral asymmetry, which is an early sign of breast cancer. We have used rigid registration to align left and right mammographic images as a first step for comparing corresponding regions in the left and right breast. Registration performance was tested on a dataset...
Aging process affects the appearance of people in different ways. One of the changes caused by aging are changes in craniofacial morphology of individuals. Different models of facial aging exist and this paper will apply anthropometric model of facial aging on pictures of 20 people at different ages of their lives to show the similarities between craniofacial morphology of people at the same age....
Any automatic face recognition system (FRS) operating under uncontrolled environment with no user interaction may encounter difficulties in its performance when low quality image is received as input. This issue may require the necessity of employing some preprocessing steps to enhance the image quality. One example of low quality image is provided by noisy data. The impact of six approaches for noise...
This paper deals with one sample per person face recognition, also called one sample per person problem. We use three standard methods: neural networks — MLP (multi-layer perceptron) and RBF (radial basis function) network, and SVM (support vector machine) method. These methods are tested on FERET face database. We analyze impact of extending training sets by modified images (of original images) to...
In real-world applications, facial expression significantly affects the performance of a face recognition system. Variation of facial expressions or poses is still challenging problem even for best face recognition methods. Conventional face recognition methods like Eigenfaces do not directly consider influence different expressions. In this paper we extend idea of rule based generation of face expression...
Static and dynamic image coding is necessary for transfer via communication network. Digital image representation requires large numbers of bits. In this paper low bit-rate human face image coding using triangulation is presented. Human faces modeling algorithm uses an available database of average faces for face synthesis. An average face is created by image registration on 2D model of human face...
Correct and timely diagnosis of diseases is an essential matter in medical field. Limited human capability and limitations decrease the rate of correct diagnosis. Machine learning algorithms such as support vector machine (SVM) can help physicians to diagnose more correctly. In this study, Wisconsin diagnostic breast cancer (WDBC) data set is used to classify tumors as benign and malignant. Independent...
According to American Cancer Society's most recent studies, breast cancer is the most common cancer among women today and a serious threat worldwide. Mammography, whether screen-film or digital, remains the best method to detect early breast cancer. Mammography imaging relies on the projection of a three-dimensional object onto a two-dimensional image in which lesions can be easily obscured and undetected...
The first step in computer aided detection (CAD) in mammography relies on accurate image segmentation. Testing of CAD algorithms should include comparison with other proposed methods in order to show how a new method compares with ones presented before. Two most popular mammographic databases, which are publicly available, consist of scanned films. This presents a segmentation challenge in order to...
Speed limit traffic sign detection is realized in two basic parts. The first part is the detection of traffic sign edge which includes the segmentation by means of a large set of different thresholds in different colour spaces. For each input image a convenient threshold and colour component from one of colour spaces is selected by the observation of the histogram of the whole image. Specially trained...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.