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Search Results: 1 - 10 of 8680 matches for " Dr. Mahua Bhattacharya "
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OPTIMIZED FLAME DETECTION USING IMAGE PROCESSING BASED TECHNIQUES
Gaurav Yadav,Vikas Gupta,Vinod Gaur,Dr. Mahua Bhattacharya
Indian Journal of Computer Science and Engineering , 2012,
Abstract: Present work is an in depth study to detect flames in video by processing the data captured by an ordinary camera. Previous vision based methods were based on color difference, motion detection of flame pixel and flame edge detection. This paper focuses on optimizing the flame detection by identifying gray cycle pixelsnearby the flame, which is generated because of smoke and of spreading of fire pixel and the area spread of flame. These techniques can be used to reduce false alarms along with fire detection methods . The novel system simulate the existing fire detection techniques with above given new techniques of fire detection and give optimized way to detect the fire in terms of less false alarms by giving the accurate result of fire occurrence. The strength of using video in fire detection is the ability to monitor large and open spaces. The novel system also give the opportunity to adjust the system by applying different combination of fire detectingtechniques which will help in implementation of system according to different sensitive area requirement.
A novel vague set approach for selective contrast enhancement of mammograms using multiresolution  [PDF]
Arpita Das, Mahua Bhattacharya
Journal of Biomedical Science and Engineering (JBiSE) , 2009, DOI: 10.4236/jbise.2009.28083
Abstract: The proposed algorithm introduces a novel vague set approach to develop a selective but robust, flexible and intelligent contrast enhancement technique for mammograms. Wavelet based filtering analysis can produce Low Frequency (LF) and High Frequency (HF) subbands of the original input images. The extremely small size microcalcifications become visible under multiresolution techniques. LF subband is then fuzzified by conventional fuzzy c-means clustering (FCM) algorithm with justified number of clusters. HF components, representing the narrow protrusions and other fine details are also fuzzified by FCM with justified number of clusters. Vague set approach captures the hesitancies and uncertainties of truly affected masses/other breast abnormalities with normal glandular tissues. After highlighting the masses/microcalcifications accurately, both LF and HF subbands are transformed back to the original resolution by inverse wavelet transform. The results show that the proposed method can successfully enhance the selected regions of mammograms and provide better contrast images for visual interpretation.
ENHANCING IMAGE CONTRAST OF MAMMOGRAM & EQUALIZATIO OF HISTOGRAMS
TRIPTY SINGH,DR. SWARNALATA RAO,DR MAHUA BHATTACHARYA,M.NAGRAJA
International Journal of Engineering Science and Technology , 2011,
Abstract: An intelligent Image Processing Technique employed in an system can be very helpful for radiologist in detecting and diagnosing micro calcifications’ patterns earlier and faster than typical screening programs. In this paper, we present a system based on fuzzy-C Means clustering and feature extraction techniques using texture based segmentation and genetic algorithm for detecting and diagnosing micro calcifications’ patterns in digital mammograms. We have investigated and analyzed a number of feature extraction techniques and found that a combination of three features, such as entropy, standard deviation, and number of pixels, is the best combination to distinguish a benign micro calcification pattern from one that is malignant. By contrast enhancement and analyzing its corresponding histograms we conclude that theses techniques will surely be an aid to radiologist for diagnosing of breast cancer at an early stage. The results showed that the genetic algorithm described in the present study was able to produce accurate results in the classification of breast cancer data and the classification rule identified was more acceptable and comprehensible.
Reversible Digital Image Watermarking Scheme Using Bit Replacement and Majority Algorithm Technique  [PDF]
Koushik Pal, Goutam Ghosh, Mahua Bhattacharya
Journal of Intelligent Learning Systems and Applications (JILSA) , 2012, DOI: 10.4236/jilsa.2012.43020
Abstract: The current paper presents a new digital watermarking method through bit replacement technology, which stores mul-tiple copies of the same data that is to be hidden in a scrambled form in the cover image. In this paper an indigenous approach is described for recovering the data from the damaged copies of the data under attack by applying a majority algorithm to find the closest twin of the embedded information. A new type of non-oblivious detection method is also proposed. The improvement in performance is supported through experimental results which show much enhancement in the visual and statistical invisibility of hidden data.
Soft Computing Based Decision Making Approach for Tumor Mass Identification in Mammogram
Mahua Bhattacharya,Arpita Das
International Journal of Bioinformatics Research , 2009,
Abstract: An intelligent computer aided diagnosis system can be very helpful for radiologist in detecting anddiagnosing breast cancer faster than typical screening program. This study attempted to segment themasses accurately and distinguish malignant from benign masses. The suspicious location of the breastmasses are specified by the radiologists and then masses are accurately segmented using fuzzy c-meansclustering technique. Fourier descriptors are utilized for the extraction of shape features of mammographicmasses. These shape features along with the texture features are fed to the input of the ANFIS classifier fordetermination of the masses as benign, lobular or malignant. The classification system utilizes a simpleEuclidian distance metric to determine the degree of malignancy. The study involves 40 digitizedmammograms from MIAS, BIRADS database and has to be found 87% correct classification rate.
Development of Application Specific Continuous Speech Recognition System in Hindi  [PDF]
Gaurav Gaurav, Devanesamoni Shakina Deiv, Gopal Krishna Sharma, Mahua Bhattacharya
Journal of Signal and Information Processing (JSIP) , 2012, DOI: 10.4236/jsip.2012.33052
Abstract: Application specific voice interfaces in local languages will go a long way in reaching the benefits of technology to rural India. A continuous speech recognition system in Hindi tailored to aid teaching Geometry in Primary schools is the goal of the work. This paper presents the preliminary work done towards that end. We have used the Mel Frequency Cepstral Coefficients as speech feature parameters and Hidden Markov Modeling to model the acoustic features. Hidden Markov Modeling Tool Kit —3.4 was used both for feature extraction and model generation. The Julius recognizer which is language independent was used for decoding. A speaker independent system is implemented and results are presented.
Experience of Using Letrozole as a First-Line Ovulation Induction Agent in Polycystic Ovary Syndrome (PCOS)
Nupur Nandi *, Mahua Bhattacharya, Amit Tolasaria and Banasree Bhadra
Al Ameen Journal of Medical Sciences , 2011,
Abstract: Objectives: To study the effects of aromatase inhibitor- letrozole, as a first-line ovulation inducing agent in anovulatory infertility due to PCOS (Polycystic ovary syndrome). Materials & Methods: This prospective study was conducted among 106 Women with PCOS (total 204 cycles). Letrozole was given as 2.5 mg. twice daily from day3 to day7 of menstrual cycle. Ultrasound folliculometry was started from day 8 onwards to monitor follicular development, ovulation & endometrial thickness. Timed intercourse was advised 24 hours after the leading follicular diameter reached >= 17 mm. in size till 12 hours post ovulation. Pregnancy detection was done by urine for pregnancy test once the menstruation was overdue & later confirmed by transvaginal sonography. Results: Out of 106 women, 72 women ovulated (67.9% ovulation rate), 29 women conceived (27.3% pregnancy rate), only 2 patients had miscarriage (1.8%). Over 204 cycles, per cycle pregnancy rate was 14.2%, & spontaneous ovulation rate was 35.2%. Average endometrial thickness on the day of documenting ovulation was 10.1 +- 0.3 mm. None had developed ovarian hyper stimulation syndrome or multiple gestations. Conclusion: This study indicates letrozole may safely be considered as an effective & simple first-line ovulation induction agent using minimal resources in anovulatory infertility due to PCOS.
FLUID FLOW INTERACTIONS IN OGUN RIVER, NIGERIA
Dr.Amartya Kumar Bhattacharya and G.Akin Bolaji
International Journal of Research and Reviews in Applied Sciences , 2010,
Abstract: Surface and groundwater interaction is an important aspect of the hydrologic cycle that borders on the watershed assessment, protection and restoration. In groundwater/surface water interactions, the groundwater component is much greater than the surface water but is much less visible and attracts less public interest. The mixing between surface and groundwater enables them to import their characteristics upon one another thereby counting a change in their parameters. Groundwater interacts with surface water in nearly all landscapes, ranging from small streams to major river valleys. Many scientists have studied the physical aspects of groundwater/surface water interactions, but it is in recent times that these interactions have been looked upon in relation to their ecological implications. With the coming of a more holistic approach to environmental flows and environmental protection, surface water/groundwater (SW/GW) interactions should receive heightened attention at multidisciplinary scale and more so, by policy makers and watershed managers. It is generally understood in conceptual form that surface water therefore has the ability to enhance or detract from groundwater quality and vice versa, yet little is known about the processes by which these two entities interact (Gardener, 1988). In the past, emphasis has been placed on studying the physical and chemical effects that groundwater has on surface water but it is also important to look at the ecological role surface water and groundwater interactions can play in maintenance of environmental flows in a river basin. In area where surface water and groundwater directly interacts, the important issue commonly raised in recent times are not only concern with water quality but related with ecology and biodiversity. Therefore, there is a need for thorough understanding of the surface water and groundwater interactions within catchments so as to enhance the sustainable development and management of water resources system. The analytical technique discussed in this paper is an aid to assess the relationship of surface and subsurface hydrology to enlighten a broad audience on the importance of this relationship to environmental flow regulations. The target goals of this paper includes making a case for environmental flows in planning for water allocation and to gain the attention and create awareness that will support future research in environmental flow assessments.
Protective Role of Phytosterol Esters in Combating Oxidative Hepatocellular Injury in Hypercholesterolemic Rats
Avery Sengupta,Mahua Ghosh
Pakistan Journal of Biological Sciences , 2013,
Abstract: The aim of the present study is to evaluate the effect of eicosapentaenoic acid-docosahexaenoic acid (EPA-DHA) rich sterol ester and Α-linolenic Acid (ALA) rich sterol ester on the atherogenic disturbances in hypercholesterolemic atherogenic animals. Six groups of male Wistar rats were employed in this study, wherein five groups were fed with a high cholesterol diet (stock diet supplemented with 1% cholesterol) for 30 days, among which, two groups of rats were also treated with EPA-DHA rich sterol ester in two doses (25 and 50 mg/rat/day, oral gavage) and two groups were treated with ALA rich sterol ester also in two doses (25 and 50 mg/rat/day, oral gavage). The remaining one group served as control. Abnormal increases in the levels of malondialdehyde, as well as depressed antioxidants status, were observed in hepatic tissue of hypercholesterolemic control group. Hypercholesterolemia induced abnormal elevation in the activities of marker enzymes in liver (aspartate transaminase, alanine transaminase and alkaline phosphatase) and was accompanied by increased hepatic cholesterol level and altered fatty changes in the histology of liver. These changes were restored partially in the groups administered with lower doses (25 mg/rat/day) of sterol esters. However, the higher doses (50 mg/rat/day) of sterol esters almost ameliorated the hypercholesterolemic-oxidative changes in the hypercholesterolemic rats. The results of this study present oxidative injury induced by hypercholesterolemic diet and administration of the treatment with higher doses of sterol esters afforded sound protection against lipemic-oxidative injury.
An Analytical Study of different Document Image Binarization Methods
Mahua Nandy,Satadal Saha
Computer Science , 2015,
Abstract: Document image has been the area of research for a couple of decades because of its potential application in the area of text recognition, line recognition or any other shape recognition from the image. For most of these purposes binarization of image becomes mandatory as far as recognition is concerned. Throughout couple decades standard algorithms have already been developed for this purpose. Some of these algorithms are applicable to degraded image also. Our objective behind this work is to study the existing techniques, compare them in view of advantages and disadvantages and modify some of these algorithms to optimize time or performance.
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