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Search Results: 1 - 10 of 1875 matches for " Mahua Bhattacharya "
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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.
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.
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.
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.
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.
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.
Review: the charnockite problem, a twenty first century perspective  [PDF]
Samarendra Bhattacharya
Natural Science (NS) , 2010, DOI: 10.4236/ns.2010.24049
Abstract: Beginning of the twentieth century was marked by coinage of a new rock name, Charnockite, first described as a hypersthene-bearing granite from Southern India. Since then charnockites have been described from most of the conti-nents and mostly restricted to high-grade belts. Later half of the last century saw a lively debate over an igneous versus metamorphic origin. However, two factors acted as deterrents for the resolution of the debate. First, charnockites and associated rocks occur in a variety of different structural setting and display diverse field rela-tions, attesting to possible different mode of origin. Second and possibly more important is the lack of consensus on the nomenclature of charnockites and associated rocks and this is commonly linked with the metamorphic versus magmatic perspective. Scanning the literature of this period makes one believe that both metamorphic and magmatic hypotheses are valid, but applicable to different field setting only. Before critically evaluating individual cases, it is imperative that a uniform approach in nomenclature should be agreed upon. It is proposed that name charnockite be adopted for any quartzofeldspathic rock with orthopyroxene, irrespective of its mode of occurrence, struc-tural setting and mode of origin. The associated more mafic varieties, be better described as mafic granulite, rather than basic charnockite. For the patchy charnockites of east Gondwana (including parts of Peninsular India, Sri Lanka and Antarctica), metamorphic transformation from amphibolite facies gneiss, by two different mechanisms: CO2 ingress from deep level, and drop in fluid pressure, has been proposed. However, all such patchy occurrence is not amenable to explanation by metamorphic trans- formation. In some instances, migmatisation of older charnockitic rocks is evident. Also pro- gressive charnockitisation relating patchy char-nockite to banded variety could be argued against on two counts: grain-size relation and time-relation. Larger bodies or bands have been explained as magmatic, but in many instances, from geochemical consideration alone. The compositional variation, commonly encoun-tered in many high-grade belts, if not described in terms of field relation, may lead to wrong no-tions of magmatic differentiation of mantle-de- rived melts. Crustal melting of dry granulite fa-cies source rocks has been proposed from geochemical and isotopic data of charnockitic intrusions. This model proposes high-tempera-ture melting of previously dehydrated and dry granulite source rocks. However, tectonic per-turbation
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