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.
The article outlines the publications on measuring the field of vibration movement of the surface of the controlled object. The authors have conducted the modelling of the trace of vibration-induced image blurring with the aim of determining structural parameters that are the input data for calculating the vector components of the vibration movement of the studied material point. The article describes...
The paper provides the overview of publications that study the task of protecting mirror antennas from external vibration influences. We suggest a new technique of contactless measurement and the analysis of the modulus and components of the vector for vibration amplitude in mirror antenna elements. We have analyzed the structural parameters of the trace of vibration-induced image blurring of the...
Usage of multi-step segmentation for near-duplicate image recognition is investigated. The search pattern based on the rank distributions of the brightness clusters cardinality is suggested. Experimental results on the near-duplicate image recognition based on the application of the suggested search pattern are given. It is shown that the use of a multi-step segmentation and rank distributions of...
Possibility of application of a recurrent neural network for segmentation of full-color images based on a clustering of color components is considered. Questions of multi-step segmentation of such images in different color models are discussed. Experimental results on multi-step segmentation of images are presented in the RGB and YUV color spaces.
The application of recurrent neural network for image segmentation is considered. The described method allows to perform clustering of the image parameters without the a priori information about the clusters number. Calculation of network parameters for segmentation is discussed. The experiments results of multi-step segmentation are given.
Fruit grading technique will rank the images using their shapes, color and outer look. For that we present an improved watershed segmentation method based on multi-scale edge detection. Multi-scale edge detection method which is the weighted combination of morphological operations and it applied to fruit Image. First the image is given to multi-scale edge detection method and the result is given as...
Image segmentation is an important step in image processing. Most of the segmentation methods are parametric and the results of segmentation depend on the correctness of the estimated parameters. In case of supervised segmentation, a priori knowledge is needed for successful segmentation. So, nonparametric and unsupervised segmentation method is used when a priori information is not available. Kohonen's...
Lung cancer is the most common fatal malignancy in both men and women. Early detection and treatment of lung cancer can greatly improve the survival rate of patient. The present work describes the design and development of a two stage computer-aided diagnosis (CAD) system that can automatically detect and diagnose histological images such as CT scan of lung with a nodule into cancerous or non-cancerous...
Blood related invasive pathological investigations play a major role in diagnosis of diseases. But in India and other third world countries there are not enough pathological infrastructures for medical diagnosis. Moreover, most of the remote places of those countries have neither pathologists nor physicians. Telemedicine partially solves the lack of physicians. But the pathological investigation infrastructure...
- Plants play an important role in both human life and other lives that exist on the earth. Due to environmental deterioration and lack of awareness, many rare plant species are at the margins of extinction. Despite the great advances made in botany, there are many plants yet to be discovered, classified, and utilized; unknown plants are treasures waiting to be found. Leaf classification and recognition...
Diagnosis is the Key feature of an Intelligent Diagnostic Imaging System (IDIS). This paper describes the major diagnosis depending on the shape, texture, and area of the abnormality. Abnormality extraction is the vital step in a series of processes aimed at overall image understanding. Region based segmentation is used for abnormality extraction. This paper also describes author defined algorithms...
Segmentation of satellite images is an important step for the success of the object detection and recognition in image processing. Segmentation is the process of dividing the image into disjoint homogeneous regions. There are many segmentation methods and approaches, the most popular are clustering methods and approaches such as Fuzzy C-Means (FCM) and K-means. The success of clustering methods depends...
In this paper, I propose a novel hybrid approach of license plate recognition system based on Neural Network and Image Correlation for classification of characters. I used image processing for segmentation. The purpose of this study is to develop a more reliable hybrid system than individual one. The license plate number of the vehicles taken from an acceptable distance from it up to 10m. This hybrid...
In this paper, a new medical image segmentation algorithm based on Skew Gaussian distribution is proposed. In brain images, it is necessary to classify the brain voxels into one of the 3 main tissues mainly Gray matter (GM), White matter (WM) and Cerebro Spiral fluid (CSF). Quantization of Gray & White matter is a topic of concern in neuro-degenerative disorders. Viz., Alzheimer disease and Parkinson's...
The fingerprint image preprocessing is the premise and basis for fingerprint identification. It will directly influence the final outcome of fingerprint identification. In order to maintain and restore fingerprint ridge structures, and improve the noise immunity of fingerprint image preprocessing algorithm. In the paper, a method for getting direction image based on gradient is given. Using direction...
Image segmentation is a fundamental problem in computer vision. Recently, ensemble learning receives more and more attention for its robustness, novelty and stability. Generally there are two problems in ensemble learning. One is the generation of the individuals of ensemble. The other is the consensus function of the individuals. We focus on the second problem. A new consensus function is proposed...
Face segmentation is an important processing step in a typically face-based person identification system. This paper presents a modified K-means clustering and fusion approach for face region extraction from colorful images of video sequences. It is based on L*a*b* color space analysis and consists of three processing steps: color number estimation, color region clustering, and face region post processing...
This paper deals with an automatic measurement of nanofiber properties on digital images. Nanofibers are manufactured by electrospinning method with diameters in the range of one or two orders magnitude smaller than conventional textile fibers. Individual algorithms and functions suitably use instruments of computer image processing. A first parameter filling is defined by a ratio of a fiber area...
In this study, a fuzzy clustering method has been proposed in order to segment brain tissues affected by the multiple sclerosis (MS). In traditional fuzzy clustering, the neighboring relations between pixels have not been taken account of. Additionally, the performance of the clustering reduces drastically because of the pixels having close gray levels due to noise. Therefore, in this study, a novel...
Liveness detection is an important and challenging issue in iris recognition system security against spoofing. In this paper, a new iris liveness detection method is proposed against semi-transparent contact lens based spoofing. The proposed method works through iris texture dissimilarity between two iris regions due to pupillary light reflex. The texture dissimilarity is computed in the iris region...
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.