Wyniki wyszukiwania - BazTech

1

Research on Railway Track Edge Detection Based on BM3D and Zernike Moments

Wang Nan, Huo Tao, Zhang Tianming

Archives of Transport

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2023

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Vol. 68, iss. 4

7--20

EN

With the rapid development of intelligent rail transportation, the realization of intelligent detection of railroad foreign body intrusion has become an important topic of current research. Accurate detection of rail edge location, and then delineate the danger area is the premise and basis for railroad track foreign object intrusion detection. The application of a single edge detection algorithm in the process of rail identification is likely to cause the problem of missing important edges and weak gradient change edges of railroad tracks. It will affect the subsequent detection of track foreign objects. A combined global and local edge detection method is proposed to detect the edges of railroad tracks. In the global pixel-level edge detection, an improved blok-matching and 3D filtering (BM3D) algorithm combined with bilateral filtering is used for denoising to eliminate the interference information in the complex environment. Then the gradient direction is added to the Canny operator, the computational template is increased to achieve non-extreme value suppression, and the Otsu thresholding segmentation algorithm is used for thresholding improvement. It can effectively suppress noise while preserving image details, and improve the accuracy and efficiency of detection at the pixel level. For local subpixel-level edge detection, the improved Zernike moment algorithm is used to extract the edges of the obtained pixel-level images and obtain the corresponding subpixel-level images. It can enhance the extraction of tiny feature edges, effectively reduce the computational effort and obtain the subpixel edges of the orbit images. The experimental results show that compared with other improved algorithms, the method proposed in this paper can effectively extract the track edges of the detected images with higher accuracy, better preserve the track edge features, reduce the appearance of pseudo-edges, and shorten the edge detection time with certain noise immunity, which provides a reliable basis for subsequent track detection and analysis.

2

Using Zernike moments in the process of automatic identification

Zacniewski A.

Autobusy : technika, eksploatacja, systemy transportowe

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2017

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R. 18, nr 6

1629--1632, CD

EN

In this article, the problem of automatic identification with Zernike moments is presented. Due to their orthogonal properties they store image information with minimal redundancy and are rotational invariant, what make them accurate tool in systems of automatic identification of images. Content Based Image Retrieval system is presented, and two phases (offline and online) of this system are described in detail. Practical experiments are conducted on two datasets – standard MPEG-7 dataset and customized sprite dataset, howing promising results.

PL

W artykule przedstawiono problem automatycznej identyfikacji przy użyciu momentów Zernike. Z powodu ich ortogonalnych własności mogą przechowywać informacje o obrazie z minimalną nadmiarowością, a także są odporne na zmiany związane z obrotem obrazu. Przedstawiono system wyszukiwania obrazów bazujący na ich zawartości, a także omówiono szczegółowo dwie główne fazy działania takiego systemu. Praktyczne eksperymenty przeprowadzone na dwóch zbiorach obrazów – standardowym MPEG-7 oraz na zbiorze z niestandardowej bazy kolorowych postaci, pokazują zadowalające wyniki uzyskane dzięki momentom Zernike.

3

Separation of overlapping bacilli in microscopic digital TB images

Priya E., Srinivasan S.

Biocybernetics and Biomedical Engineering

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2015

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Vol. 35, no. 2

87--99

EN

The sputum smear microscopy based tuberculosis (TB) screening method is a conventional method employed for disease identification. It provides significant benefit to TB burdened communities across the globe; however, there are many challenges faced in processing the sputum smear images. When the smear is thick or uneven the number of overlapping bacilli is more which impedes the diagnosis. The separation of overlapping bacilli is significant without which the results lead to gross errors in identification of the disease causing agent. In this work, separation of overlapping bacilli is carried out by method of concavity (MOC) and is compared with the conventional methods such as multi-phase active contour (MAC) and marker-controlled watershed (MCW). Performance of the methods is evaluated based on the statistical mean quality score of shape descriptors extracted from the separated and existing true bacilli. The shape descriptors employed in this work include geometric features, Hu's, Zernike moments and Fourier descriptors. Results of separated overlapping bacilli demonstrate that MOC performs better than MAC and MCW. It is observed that the statistical mean quality score of the separated bacilli using the proposed MOC shows nearest match with true bacilli. The validation performed with experimental results to that of human annotations highlights the performance of MOC in separating the overlapping bacilli in the sputum smear images.

4

Central-symmetrical property analysis on circularly orthogonal moments

Dai H., Liao S.

Journal of Theoretical and Applied Computer Science

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2014

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Vol. 8, nr 2

11--26

EN

In this research, we have proposed the central-symmetrical property of image reconstructions from Zernike moments and pseudo-Zernike moments. We conducted the image reconstructions from the odd, even, and complete sets of Zernike moments and pseudo-Zernike moments, and verified the proposed central-symmetrical property. We have concluded that if the original image is centrally symmetrical, the image reconstructions from even order sets are identical to those from the corresponding complete order sets of either Zernike or pseudo-Zernike moments.

5

Radon-Zernike moments method applied in postal application

Miciak M., Wiatr R., Andrysiak T., Maszewski M.

Zeszyty Naukowe. Telekomunikacja i Elektronika / Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy

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2013

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z. 17

17--26

EN

In this paper a new method of a handwritten characters recognition is introduced. The proposed algorithm is applied to classification of post mails on the basis of postal code information. In connection with this work the research was conducted with numeric characters used in real post code of mail pieces. Moreover, the article contains image processing, for instance, filtration of Radon transformation of the character. The main objective of this article is to use the Radon transform parameter space to obtain a set of moment features on basis of which postal code will be recognized.

PL

W artykule przedstawiono nowe rozwiązanie zadania rozpoznawania znaków pisanych ręcznie dla zastosowań pocztowych. Zaproponowano algorytm klasyfikacji przesyłek pocztowych działający na podstawie informacji zawartej w zapisie kodu pocztowego. Główny nacisk położono na wykorzystanie transformaty Radona i momentów Zernike do uzyskania zbioru cech, na podstawie, których rozpoznawano kod pocztowy. Otrzymane wyniki eksperymentów pozwoliły wykazać skuteczno ść proponowanej metody.

6

Invariant Gabor-Zernike descriptor for postal applications

Andrysiak T., Miciak M., Boniecki R.

Zeszyty Naukowe. Telekomunikacja i Elektronika / Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy

|

2011

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z. 15

5-17

EN

In this paper a new solution of handwritten digits recognition system for postal applications is presented. Moreover, in this paper, a new method of handwritten characters recognition is introduced. The proposed algorithm is applied to classification of post mails on the basis of zip code information. In connection with this work the research was conducted with numeric characters used in real post code of mail pieces. Moreover, the article contains basic image processing for instance filtration binarization and normalization of the character. The main objective of this article is to use the Gabor filtration and Zernike moments to obtain a set of invariant features, on basis of which postal code will be recognized. The reported experiments' results prove the effectiveness of the proposed method. Furthermore, sources of errors as well as possible improvement of classification results will be discussed.

PL

W artykule przedstawiono nowe rozwiązanie zadania rozpoznawania znaków pisanych ręcznie dla zastosowań pocztowych. Zaproponowano algorytm klasyfikacji przesyłek pocztowych działający na podstawie informacji zawartej w zapisie kodu pocztowego. Ponadto w artykule opisano podstawowe operacje przetwarzania wstępnego tj. filtracje, binaryzacje oraz normalizacje obrazu znaku. Głównym nacisk położono na wykorzystanie filtracji Gabora i momentów Zernike do uzyskania zbioru cech na podstawie których rozpoznawano kod pocztowy. Otrzymane wyniki eksperymentów pozwoliły wykazać skuteczność proponowanej metody. Dodatkowo w pracy przedstawiono źródła potencjalnych błędów w procesie rozpoznawania, jak również zaproponowano możliwości poprawy wyników klasyfikacji.

7

Application of Zernike Moments to the problem of General Shape Analysis

Frejlichowski D.

Control and Cybernetics

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2011

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Vol. 40, no 2

515-526

EN

The Zernike Moments (ZM) have been successfully applied to the problem of shape recognition. Their properties allow for solving some fundamental problems in this task. Amongst them the most important one is the invariance to rotation, scaling, translation, and reflectional symmetry. Moreover, the obtained representation can vary according to the level of generalisation of a shape. For this reason in the paper the application of the ZM to the problem of General Shape Analysis (GSA) is proposed and experimentally investigated. The GSA problem is similar to the recognition and retrieval of shapes. However, only the most general classes of shapes (e.g. square, triangle, circle, ellipse) are assumed to perform the role of the basic templates. Moreover, the processed object does not have to belong to any of the template classes, but may be only similar to one of them. This enables us to receive the most general information about a shape, e.g. how square, triangular, round, elliptical, etc. it is. In the paper, in order to evaluate the Zernike Moments applied to the problem of GSA, the performance of this shape descriptor is compared with the results provided by nearly two hundred humans and collected by means of appropriate inquiry forms.

8

Investigation of normalization techniques and their impact on a recognition rate in handwritten numeral recognition

Chmielnicki W., Stąpor K.

Schedae Informaticae

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2010

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Vol. 19

53-77

EN

This paper presents several normalization techniques used in handwritten numeral recognition and their impact on recognition rates. Experiments with five different feature vectors based on geometric invariants, Zernike moments and gradient features are conducted. The recognition rates obtained using combination of these methods with gradient features and the SVM-rbf classifier are comparable to the best state-of-art techniques.

9

Geometric transform Invariant Texture Analysis based on Modified Zernike Moments

Vyas V.S., Rege P.P.

Fundamenta Informaticae

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2008

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Vol. 88, nr 1-2

177-192

EN

In this paper, geometric invariant texture analysis, which comprises of rotation, scale and translation (RST) invariance, is presented. Many types of moments and functions of moments have been utilized in RST invariant pattern recognition applications. However, use of moments for texture content-based image analysis is limited. Here, application of Zernike moment for geometric invariant texture analysis is studied. An algorithm is proposed to design fast and modified Zernike moments to extract a particular texture from image irrespective of its rotation scale change and translation. The algorithm is tested for its robustness in the presences of various noises like salt and paper, Gaussian and speckle noise. The operator is evaluated for computation of moments on different data sets of textures like Brodatz and Vistex. Comparison is done with traditional Zernike moments based techniques, Fast Fourier Transform (FFT)-Zernike moments based technique and proposed modified Zernike moment based technique.

10

Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor

Ye B., Peng J.

Image Processing & Communications

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2002

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Vol. 8, no 3

11-20

EN

In order to retrieve an image from a large image database, the descriptor should be invariant to scale and rotation. It must, also have enough discriminating power and immunity to noise for retrieval from a large image database. The Zernike moment descriptor has manv desirable properties such as rotation invariance, robustness to noise, expression efficiency, fast computation and multi-level representation for describing the shapes of patterns, but it does not possess scale invariance. In this paper, we present an improved Zernike moment descriptor that not only has rotation invariance, but also has scale invariance. We apply the improved Zernike moments to image recognition using as an elective descriptor of global shape of an image in a large image database. The experimemtal results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.

11

Quazi-optimal Zernike feature selection

Labunets V., Maidan A., Astola J., Egiazarian K.

Image Processing & Communications

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2001

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Vol. 7, no 1-2

31-40

EN

Moment invariants have found wide applications in image recognition since they were proposed. The recognition problem is often connected with image reconstruction technique to determine a desired set of invariants for use their in a recognition system. For image reconstruction low order moments are important because they contain information about general shape of the image. But these moments are not efficient for recognition because general shapes of different objects can be very similar and do not allow to distinguish one object from another. The main difficulty in the application of the moment invariants is the absence of theoretical methods for estimating their efficiency in recognition tasks. In this paper, our goal is to analyse the significance of Zernike moments of different orders from the viewpoint of pattern recognition theory. We propose simple intuitive method of optimal filtering in invariant domain, namely, to select image features in order to minimize errors (misclassification rates) excluding noise sensitive and unstable features.