354 research outputs found
Image Feature Extraction Using 2D Mel-Cepstrum
No full textIn this paper, a feature extraction method based
on two-dimensional (2D) mel-cepstrum is introduced.
Feature matrices resulting from the 2D mel-cepstrum,
Fourier LDA approach and original image matrices are
individually applied to the Common Matrix Approach
(CMA) based face recognition system. For each of these
feature extraction methods, recognition rates are obtained
in the AR face database, ORL database and Yale
database. Experimental results indicate that recognition
rates obtained by the 2D mel-cepstrum method is
superior to the recognition rates obtained using Fourier
LDA approach and raw image matrices. This indicates
that 2D mel-cepstral analysis can be used in image feature
extraction problem
Wavelet based flickering flame detector using differential PIR sensors
No full textA Pyro-electric Infrared (PIR) sensor based flame detection system is proposed using a Markovian
decision algorithm. A differential PIR sensor is only sensitive to sudden temperature variations within
its viewing range and it produces a time-varying signal. The wavelet transform of the PIR sensor signal
is used for feature extraction from sensor signal and wavelet parameters are fed to a set of Markov
models corresponding to the flame flicker process of an uncontrolled fire, ordinary activity of human
beings and other objects. The final decision is reached based on the model yielding the highest
probability among others. Comparative results show that the system can be used for fire detection in
large rooms
Flame Detection for Video-Based Early Fire Warning for the Protection of Cultural Heritage
No full textCultural heritage and archaeological sites are exposed to the risk of fire and early warning is the only way to avoid losses and damages. The use of terrestrial systems, typically based on video cameras, is currently the most promising solution for advanced automatic wildfire surveillance and monitoring. Video cameras are sensitive in visible spectra and can be used either for flame or smoke detection. This paper presents and compares three video-based flame detection techniques, which were developed within the FIRESENSE EU research project.The original publication is available at http://link.springer.com/chapter/10.1007/978-3-642-34234-9_38
Who is Little Enis
No full text25 x 22 cm.Folded broadside of the poem 'Who Is Little Enis?' by Johnathan Williams, with photo by Make-Hay Studios, designed by Captain Vague & the Edgarologist, signed by author 'for David', ca. 1974. 25 x 22 cm
Image Classification of Human Carcinoma Cells Using Complex Wavelet-Based Covariance Descriptors
No full textCancer cell lines are widely used for research purposes in laboratories all over the world. Computer-assisted classification of
cancer cells can alleviate the burden of manual labeling and help cancer research. In this paper, we present a novel
computerized method for cancer cell line image classification. The aim is to automatically classify 14 different classes of cell
lines including 7 classes of breast and 7 classes of liver cancer cells. Microscopic images containing irregular carcinoma cell
patterns are represented by subwindows which correspond to foreground pixels. For each subwindow, a covariance
descriptor utilizing the dual-tree complex wavelet transform (DT- WT) coefficients and several morphological attributes are
computed. Directionally selective DT- WT feature parameters are preferred primarily because of their ability to characterize
edges at multiple orientations which is the characteristic feature of carcinoma cell line images. A Support Vector Machine
(SVM) classifier with radial basis function (RBF) kernel is employed for final classification. Over a dataset of 840 images, we
achieve an accuracy above 98%, which outperforms the classical covariance-based methods. The proposed system can be
used as a reliable decision maker for laboratory studies. Our tool provides an automated, time- and cost-efficient analysis of
cancer cell morphology to classify different cancer cell lines using image-processing techniques, which can be used as an
alternative to the costly short tandem repeat (STR) analysis. The data set used in this manuscript is available as
supplementary material through http://signal.ee.bilkent.edu.tr/cancerCellLineClassificationSampleImages.html
MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion
No full textData-driven intelligent fault diagnosis methods have emerged as powerful tools for monitoring and maintaining the operating conditions of mechanical equipment. However, in real-world engineering scenarios, mechanical equipment typically operates under normal conditions, resulting in limited and imbalanced (L&I) data. This situation gives rise to label bias and biased training. Meanwhile, the current multi-source information fault diagnosis research to date has tended to focus on fault identification rather than effective feature fusion strategies. To solve these issues, a novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion is proposed to model data-level and algorithm-level ideas in a unified deep network for achieving effective multi-source information fusion under the L&I working conditions. From a data-level perspective, a data preprocessing operation is first employed to capture time–frequency information simultaneously. Subsequently, multi-source time–frequency information is fed into feature extractors with information discriminators to construct local and information-invariant feature maps with different scales to eliminate multi-source information domain shift. Then, the multi-source feature vectors are modeled by a multi-source information transformer-based neural network to achieve effective multi-source information fusion through cross-attention mechanism. Next, the global max pooling and global average pooling layers are leveraged to obtain the more representative features. Finally, from an algorithm-level perspective, a dual-stream diagnosis predictor with a binary diagnosis predictor and a multi-class diagnosis predictor is designed to synthesize the diagnostic results through a reweighing activation mechanism for addressing the L&I problems. Extensive experiments on four different multi-source information datasets show the superiority and promising performance of our method compared to the state-of-the-art methods, as evidenced by indicators from various aspects
Mel-cepstral Methods For Image Feature Extraction
No full textA feature extraction method based on two-dimensional (2D)
mel-cepstrum is introduced. The concept of one-dimensional
(1D) mel-cepstrum which is widely used in speech recognition
is extended to 2D in this article. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA, 2D PCA
and original image matrices are converted to feature vectors
and individually applied to a Support Vector Machine (SVM)
classification engine for comparison. The AR face database,
ORL database, Yale database and FRGC version 2 database
are used in experimental studies, which indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA, 2D PCA and ordinary image matrix based face recognition. This indicates that 2D mel-cepstral analysis can be used in image feature extraction problems
The world of personalities in Selahattin Enis' novels
No full textSelâhattin Enis [Atabeyoğlu] (1892-1942), edebiyat anlayışı ve dünya görüşüyle kimilerince “Türkiye'nin Zola'sı” olarak anılmıştır. Bastırdığı bir hikâye kitabı ve dördü gazetelerde tefrika hâlinde yayımlanmış sekiz romanı bulunan Selâhattin Enis, ilk eseri Neriman'dan başlayarak tüm romanlarında toplum sorunlarını, başta Batılılaşmanın yanlış anlaşılmasına dayanan ahlâkî bozulmaların bireyleri götürdüğü mutsuzluğu, keskin bir gerçekçilikle göstermekten çekinmemiştir. Sanatçının Meşrutiyet dönemi eseri olmasına rağmen Servet-i Fünûn döneminin izlerini taşıyan ilk romanı Neriman, dar bir şahıs kadrosuna sahiptir. Bu ilk romanı takip eden diğer romanlarında sanatçı giderek şahıs kadrosunu genişletir, her bir romanında vermek istediği daha fazla mesaja mukabil eserlerine daha fazla şahıs dâhil eder. 1910- 1930 tarihleri arasında yazdığı sekiz romana olabildiğince fazla mesaj sığdırma çabası içinde olan sanatçı, son dört romanında şahıs kadrosunu öylesine genişletir ki kimi zaman kahramanın adını karıştırır, kimi zaman bir önceki romanında yer alan kahramanını bir sonraki romanında ufak tefek değişikliklerle yeniden kullanır. Sanatçının şahıs kadrosunun büyük çoğunluğu tiplemelerden ibaret olan romanları; şahısların okura önceden yazar tarafından her yönleri ile tanıtılması, yazarın taraf olması, kahramanlarına karşı beslediği olumlu ve olumsuz hislerini okura açıkça yansıtması gibi yönleri ile Tanzimat dönemi romanlarının izinden gider. Bilhassa tefrika romanlarında okurun ilgisini çekme çabası ile birbirinden renkli tiplemelere yer verirken meddahvari bir tutum sergileyen sanatçıyı natüralist olma çabası, bilhassa yozlaşmış şahısların görünüşü, kokusu, eşyası, yaşadığı mekânı kullanımının tasvirinde ifrada sürükler. Selâhattin Enis’in romanları bu hâlleri ile Tanzimat’tan Cumhuriyet’e her dönemin kimi özelliklerini yansıtan; konak sakinlerinden eski yangın yeri yaşayanlarına, köşklerdeki hanımefendilerden kaldırım kadınlarına kadar rengârenk bir şahıs kadrosu teşkil eder. Anahtar Sözcükler: Selâhattin Enis, roman, şahıslar, Meşrutiyet dönemi, Cumhuriyet dönemi, natüralizmSelâhattin Enis [Atabeyoğlu] (1892-1942) is, based on his perception of literature and philosophy, considered as “Turkey’s Zola” by some persons. Selâhattin Enis, with his one published and eight novels among which four were published as serials in the newspapers, in all his novels starting from his first novel named “Neriman” showed no hesitation to demonstrate, with absolute realism, social problems and misery the individuals were led by the moral corruptions based on misunderstanding of Westernisation. Neriman, the first novel of the author which although being a work of Constitutional Monarchy Period bore the traces of Servet-i Fünun (The Wealth of Sciences) Period contained a narrow range of characters. In his novels following this first, the author gradually widened the range of his characters and in each novel included more characters against the message he sought to give. The author striving to include as more messages as possible in his eight novels he wrote between 1910-1930 so expanded the range of characters in his last four novels that he sometimes confused the names of his characters and sometimes integrated some of his characters of a previous novel to the next with some slight changes. The novels of the author, many of the characters of which consisted of typecasting, follow the lead of novels of the Constitutional Monarchy Period in terms of introducing the characters in all aspects to readers beforehand, the author taking a side and clearly reflecting the reader his positive or negative feelings he bore for his characters. The fervour to be a naturalist of the artist who showed an encomiastic manner while including in his novels characters one more vivacious than the other in an effort to grip the readers particularly in serials drags the artist into exaggeration in depicting the appearance, odour, belongings and dwellings of particularly the corrupted persons. The novels of Selâhattin Enis, as they are, consist of a variety of characters from mansion dwellers to old fireground residents, ladies of pavilions to women of sidewalks reflecting some features of each period from Constitutional Monarchy Period to the Republic Period. Key Words: Selâhattin Enis, novel, characters, Constitutional Monarchy Period, Republican period, naturalism
Moving shadow detection in video using cepstrum
No full textMoving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, a cepstrum-based method for moving shadow detection is presented. The proposed method is tested on outdoor and indoor video sequences using well-known benchmark test sets. To show the improvements over previous approaches, quantitative metrics are introduced and comparisons based on these metrics are made. © 2013 Cogun and Cetin; licensee InTech
Image Compression using a Histogram-based Color Transform
No full textIn this paper, a new color transform for image compression is introduced. Weights of the color transform are determined using the histogram of an image, making it image-specific. The compression efficiency of the transform is demonstrated using the JPEG image coding scheme. The suggested transformation results in better PSNR values than original JPEG for a given compression level when tested on 15 commonly used test images
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