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Improved color and intensity patch segmentation for human full-body and body-parts detection and tracking

Improved color and intensity patch segmentation for human fu...

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IEEE conference on Advanced video and Signal Based Surveillance (AvSS)

作者： Hai-Wen Chen Mike McGurr Booz Allen Hamilton Inc. Belcamp MD USA

This paper presents a new way for detection and tracking of human full-body and body-parts (head, torso, arms, and legs) with color and intensity patch segmentation. The original R, G, and B are transformed to H (hue), S (saturation), and v (value) domain, as well as to Y, I, and Q for the NTSC system. With the help of morphological image processing, the fusion of S, v, Y, I and Q segmentations are used for full-body detection, while the individual v, I and Q segmentations are used for body-parts detection. An adaptive thresholding scheme has been developed for dealing with body size changes, illumination condition changes, and cross camera parameter changes. Preliminary tests with the PETS 2014 datasets show that we can obtain high probability of detection (Pd=100%) and low probability of false alarm (Pfa=1.95%) for both full-body and body-parts. The reliable body-parts (e.g. head) detection allows us to continuously track the individual person even though the torsos and legs of several closely spaced persons are merged together, and accurate human head localization is critical for human ID (face recognition). Furthermore, the detected body-parts allow us to extract important local constellation features of the body-parts' positions and angles related to the centroid position of the full-body. These features are critical for human walk gating estimation (a biometric feature for walking pattern recognition), as well as for human pose (e.g. standing or falling down) estimation for potential abnormal behavior and accidental event detection.

关键词： image color analysis Feature extraction Target tracking image segmentation Cameras Legged locomotion

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Automatic Number Plate Recognition system using modified Stroke Width Transform

Automatic Number Plate Recognition system using modified Str...

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4th National conference on Computer vision, Pattern Recognition, image processing and Graphics (NCvPRIPG)

作者： Jobin, K. v. Jiji, C. v. Anurenjan, P. R. Coll Engn Trivandrum Trivandrum Kerala India

ISBN: (纸本)9781479915880

Automatic number plate recognition(ANPR) techniques occupy a significant role in intelligent traffic management systems. Most of the existing ANPR systems do not perform well under conditions like high vehicle speed, varying illuminations, changing back ground etc. In this paper we propose an ANPR technique which efficiently solves the above issues using the stroke width transform. In our method, first we pre-process the image to remove blurring artifacts. Then the significant edges in the image are detected and a new image is formed by grouping the connecting rays. This is followed by morphological processing which detects the letters in the image. Then an appropriate Optical Character Recognizer (OCR) recovers the final result. Experimental results show that the proposed method work effectively under varying light conditions and even in the presence of shadows.

关键词： Intelligent traffic management system License plates edge image morphological processing imagery (Psychotherapy) images vehicle speed shadows letter recognition system image Transform Advanced traffic management systems(ATMS) passenger transportation management system Stroke

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Axonal Transport velocity Estimation from Kymographs Based on Curvilinear Feature Extraction and Spline Fitting

Axonal Transport Velocity Estimation from Kymographs Based o...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： Alka Nair Sriprabha Ramanarayanan Shikha Ahlawat Sandhya Koushika Niranjan Joshi Mohanasankar Sivaprakasam Department of Electrical Engineering IIT Madras Healthcare Technology Innovation Centre IITM Research Park National Center for Biological Sciences Dept. of Biologial Sciences TIFR

ISBN: (纸本)9781424479276

Axonal transport velocities are obtained from spatio-temporal maps called kymographs developed from time-lapse confocal microscopy movies of neurons. The kymographs of axonal transport of *** worms are much noisier due to in vivo nature of imaging. Existing methodologies for velocity measurement include laborious manual delineation of axonal movement ridges on the kymographs and thereby determining particle velocities from the slopes of ridges marked. Manual kymograph analysis is not only time consuming but also prone to human errors in marking the ridges. An automated algorithm to extract all the ridges and determine the velocities without significant manual efforts is highly preferred. Not many methods are currently available for such biological studies. We present an almost automated method based on information fusion using LDA classifier, morphological image processing and spline fitting for determining axonal transport velocities. Experimental analysis of 50 kymographs shows considerable reduction of 89% in time taken with manual intervention of 10.83%. Comparitive study with the results of two of the previous literatures shows that our algorithm performs better.

关键词： Manuals Algorithm design and analysis Splines (mathematics) image edge detection Feature extraction Motion pictures

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Enhancement of Subtle Signs in Mammograms Using Multiscale morphological Approach

Enhancement of Subtle Signs in Mammograms Using Multiscale M...

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1st IEEE-EMBS Special Topic conference on Point-of-Care (POCT) Healthcare Technologies (PHT)

作者： Kamra, Amit Jain, v. K. Guru Nanak Dev Engg Coll Ludhiana Punjab India

ISBN: (纸本)9781467327671;9781467327657

A versatile image processing technique used in a system can be very instrumental for radiologist in detecting and diagnosing subtle signs with more accuracy and reliability than distinctive screening programs. In this paper, an algorithm based on morphological processing for enhancing architecture distortion alias subtle signs patterns in digital mammograms is suggested. The results demonstrate that proposed method has improved contrast both in objective as well as subjective manner. The proposed method in comparison to other methods gives better results in terms of various quality metrics used in algorithm.

关键词： Digital Mammography morphological processing Refractive surgery enhancement Radiologists image processing techniques

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2D image data approximation using Savitzky Golay filter - Smoothing and differencing

2D Image data approximation using Savitzky Golay filter - Sm...

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2013 IEEE International Multi conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013

作者： Gowri, B. Ganga Hariharan, v. Thara, S. Sowmya, v. Kumar, S. Sachin Soman, K.P. Center for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore-641112 India

ISBN: (纸本)9781467350891

Smoothing and differencing is one of the major important and necessary step in the field of signal processing, image processing and also in the field on analytical chemistry. The search for an efficient image smoothing and edge detection method is a challenging task in image processing sector. Savitzky Golay Filters are one among the widely used filters for analytical chemistry. Even though they have exceptional features, they are rarely used in the field of image processing. The designed filter is applied for image smoothing and a mathematical model based on partial derivatives is proposed to extract the edges in images. The smoothing technique of SG filter offers an extremely simple aid in extracting the edge information. An approach using SG filter which can be applied in preserving edge information is one of the major tasks involved in the classification process in the domain of Optical Character Recognition. The paper is focused on designing the Savitzky Golay filter by using the concepts of linear algebra. The main objective of the paper is to portray a clear cut idea about Savitzky Golay filter and to study the design of Savitsky Golay filters based on the concepts of Linear algebra. © 2013 IEEE.

关键词： Least squares approximations

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Compressive Sensing Based image Transmission for Multiuser v2X Communications

Compressive Sensing Based Image Transmission for Multiuser V...

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10th IEEE Consumer Communications and Networking conference (CCNC)

作者： Makido, Satoshi Takanashi, Masaki Toyota Cent Res & Dev Labs Inc Nagakute Aichi Japan

ISBN: (纸本)9781467331333;9781467347358

For the practical implementation of the compressive sensing (CS) it is very important to achieve a good balance between the system stability and the processing simplicity. This paper proposes simple and robust measurement matrices for CS aiming for v2X image transmission. To introduce the random factors into array codes, which is known error correcting codes, we can achieve both simplicity and robustness. Furthermore, because the proposed measurement matrices can be easily generated, they are easily applied to multiuser system without retransmission control. The reconstruction stability of the proposed method is quite high even in case of small row weight. This leads to faster reconstruction compared to the conventional low density matrix approaches.

关键词： compressed sensing error correction codes image coding matrix algebra

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NON-DESTRUCTIvE QUALITY ANALYSIS OF KAMOD ORYZA SATIvA SSP INDICA (INDIAN RICE) USING MACHINE LEARNING TECHNIQUE

NON-DESTRUCTIVE QUALITY ANALYSIS OF KAMOD ORYZA SATIVA SSP I...

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3rd International conference on Communication Systems and Network Technologies (CSNT)

作者： Shah, vinita Jain, Kavindra Maheshwari, Chetna v. GH Patel Coll Engg & Tech Vallabh Vidyanagar Gujarat India

ISBN: (纸本)9780769549583;9781467356039

Rice is one of the most important cereal grains. The paper presents a solution for quality evaluation and grading of Krishna Kamod rice using image processing and soft computing technique. In this paper basic problem of rice industry for quality assessment is defined which is traditionally done manually by human inspector. Machine vision provides one alternative for an automated, non-destructive and cost-effective technique. The proposed method for quality assessment of INDIAN KAMOD ORYZA SATIvA SSP INDICA (Krishna Kamod Rice) using image processing and multi-layer feed forward neural network technique which achieves high degree of quality than human vision inspection. The proposed algorithm based on morphological features is developed for counting the number of Krishna Kamod rice seeds with long seeds as well as small seeds. A trained multi-layer feed forward neural network based classifier is developed for identification of unknown rice seed quality.

关键词： Soft computing Computer vision Quality image processing Oryza sativa L. (rice Seeds) morphological features ISEF edge detection

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ENHANCEMENT OF RETINAL BLOOD vESSEL SEGMENTATION AND CLASSIFICATION

ENHANCEMENT OF RETINAL BLOOD VESSEL SEGMENTATION AND CLASSIF...

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International conference on Information Communication and Embedded Systems (ICICES)

作者： Prasanna, R. v. S.A.Engineering College India

ISBN: (纸本)9781467357869;9781467357876

image segmentation is a decomposition of scene into its components. It is a key step in image analysis. Edge, point, line, boundary, texture and region detection are the various forms of image segmentation. In human visual Systems, edges are more sensitive than other picture elements. Edge detection technique when used alone for image segmentation results in small gaps in edge Boundaries to any of the neighbouring pixels. A new supervised method for segmentation of blood vessels in retina photographs is implemented in the project. The purpose of this method is to automate the retinal image analysis. Using the retinal image analysis the retinal abnormality can be detected, to diagnose the retinal blood vessel features which is linked to systemic disease. The morphological segmentation is used the cardiovascular and coronary disease in adult life. The algorithm described here is for integrating edges and regions. Firstly, the edge map of image is obtained by using kirsch edge operator. The algorithm is implemented in MATLAB and the result demonstrates that the algorithm is robust, satisfying and work well for images with non-uniform illumination.

关键词： blood vessels cardiovascular system diseases edge detection eye image classification image segmentation image texture medical image processing retinal recognition vision defects

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Region Of Interest Extraction using combined segmentation in Multispectral Palm image 5

Region Of Interest Extraction using combined segmentation in...

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5th International conference on Advanced Computing (ICoAC)

作者： Maheswari, M. Suresh, G. R. SathyaBama Univ Dept Comp Sci Madras Tamil Nadu India Easwari Engn Coll Dept Elect & Commun Engn Madras Tamil Nadu India

ISBN: (纸本)9781479934485

image Acquisition is the method of capturing the image. Entire image is not needed for Enhancement Restoration and Object Recoginition. image segemention is to get the information which is needed for Authentication System. processing the segemented image will be cost effective and time effective. Each person can be differentiated based on the physiological and behavioural characteristics. Example for physiological characteristics are palm, fingerprint, iris etc. Palm print recognition system consists of capturing image, segmentation, feature extraction, matching and result. For any image the noise should be removed and only the region which is needed should be extracted. In Palm Acquisition, the whole palm is captured but it is not required for recognition or authentication. Only certain features such as palm line and texture are extracted from whole palm, which contains the necessary information. In this paper we proposed a methodology for extracting Region of Interest which consists of Otsu thresholding scheme[18], morphological operations, Canny edge detection, marking reference point and palm image alignment. Experimental results show that the approach is efficient both in computational cost and segmentation quality of Multispectral palm images. The performance of Region of Interest (ROI) segementation is tested with CASIA MultiSpectral Palm print image Database v1.0. ROI extraction for peg free palm image depends on the hand position, there is no constant time. In our methodology ROI is extracted in 2.45 seconds.

关键词： Multispectral palm Region of Interest CASIA-MS-Palm print morphological operations

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Development of effective information-hiding method for embedded systems

Development of effective information-hiding method for embed...

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IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Nakao, Kei Hozumi, Kohei Kumaki, Takeshi Ogura, Takeshi Fujino, Takeshi Ritsumeikan Univ Fac Sci & Engn 1-1-1 Nojihigashi Kusatsu Shiga Japan Ritsumeikan Univ Grad Sch Sci & Technol Shiga Japan

ISBN: (纸本)9781479900664

This paper reports on the JPEG compression tolerance of novel proposed digital watermarking algorithm that uses the morphological wavelet transform based on max-plus algebra. For objective evaluation, we investigated the image quality and tolerance against graphical data compression attack of an image during the digital-watermarking contest presented by the Committee for Information Hiding and its Criteria (IHC). During benchmarks of this contest, graphical data compression was done to reduce the file size of original image (45.5 MB) to 1/10 or less and the error rate of embedding data was reduced to 0%. As a result, the embedded data could be completely extracted. The peak signal-to-noise ratio (PSNR) was 54.08-54.66 dB. Afterwards, additional graphical data compression was done to reduce the file size to 1/20 or less of the original picture image and the error rate was reduced to 0%, and the PSNR was 52.75-54.35 dB. By compressing the image by, about 99%, the smallest data size attained was 0.49 MB and the PSNR was about 52 dB and maintained very high image quality with 0% of error rate. From these results, the processing time of the proposed algorithm was confirmed to be about 2.2 to 148.6 times faster than that of conventional algorithms on embedded systems.

关键词： image quality

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