Digital Image Processing

Tarun Dhar Diwan ¹, Gaurav Gulhare ²

Affiliations
1 CS & IT Department, Govt. E.R.R.P.G Science College, Bilaspur (C.G.), IN
2 Dr. C. V. Raman University Kota (C.G), IN

Abstract

In this paper we have analyzed the behaviour of eye movement for prevention of vehicle’s accidental situation in motor driving. We are analyzing eye blinks in normal and in driving conditions. One of the biggest problems in India and the World are road accidents. Driver’s non alertness is a prime cause for most accidents related to automobiles crashes. Accidents caused in dozed state are more severe, because of very high speeds involved and hence the driver fails to take any protective action just before collision. The state of drowsiness can be very easily detected by watching driver’s eyes. In this paper we are considering blinks of eyes. Blinks may be voluntary or involuntary. Both voluntary and involuntary blinks are taken under consideration. As the vigilance level of driver changes number of blinks also changes. The number of blinks in normal and in driving situations is the basis for judging whether driver is drowsy or not.

Keywords

Template, Frames, Blinks, Testing, Automatically, Human Computer Interface, Drowsiness.

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Tarun Dhar Diwan ¹, S. R. Tandan ², Rohit Miri ¹, Glori Gunjan Bagh ³

Affiliations
1 Deptt. of Engineering (CSE), Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Deptt. of Engineering (CSE),Dr. C. V. Raman University, Bilaspur (C.G), IN
3 Dr. C. V. Raman University, Bilaspur, (C.G), IN

Abstract

within the last several years, Cancer detected in medical sector has been very active research area of computer vision. Cancer can be recognition in a number of different ways, following the presence of certain signs and symptoms, screening tests, or medical imaging. A possible cancer is recognition it is diagnosed by microscopic examination of a tissue sample. Radiation therapy at some point during the treatment process. While cancer can be affected male and female of all ages, and a cancer are more affected common in children, most cases the risk of improving cancer generally increases with age. In 2007, cancer caused about 13% of all human deaths worldwide (8million). The most common treatment modalities for cancer are surgery, radiation therapy, and systemic therapy (i.e., drugs). These medical interventions have documented survival advantages, but the implications for QOL are not trivial. Surgery is performed on about 60% of cancer survivors Rates are raising as more people live to an old age and as mass lifestyle changes occur in the developing world. The growing risk of cervical cancer in India makes it necessary to develop methods for early detection of the disease and its subsequent treatment. Lack of knowledge is found to be the main reason for not having had of screening, non availability of female screener, inconvenient clinic times, lack of awareness of the test indication and benefits, considering onset not a risk of developing cancer and fear of embracement , detection of cancer are the factors , which has influenced cervical cancer screening. Over the past decade, the global health community has been giving increased attention to the importance of addressing cervical cancer prevention where the disease burden is greatest.

Keywords

Immunotherapy, Biologic Therapies, Cancer Prevention, Cell Transplants, Cancer Survivors.

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Tarun Dhar Diwan ¹, Bhoopendra Dhar Diwan ², Anirudh Kumar Tiwari ³

Affiliations
1 Dept. of Engineering, Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Dept. of Basic Sciences, Dr. C. V. Raman University, Bilaspur (C.G), IN
3 Dr. C. V. Raman University, Bilaspur (C.G), IN

Abstract

In this paper, as signatures continue to play an important role in financial, commercial and legal transactions, truly secured authentication becomes more and more crucial. to perform verification or identification of a signature, several steps must be performed. Online signature verification has been shown to achieve much higher verification rate than offline verification this paper proposes a novel framework for online signature verification. Different from previous methods, our approach makes use of online handwriting instead of handwritten images for registration. The online registrations enable robust recovery of the writing trajectory from an input online signature and thus allow effective shape matching between registration and verification signatures. In addition, the online registrations enable robust recovery of the writing trajectory from an input online signature and thus allow effective shape matching between registration and verification signatures. in addition, the features have been calculated using 16 bits fixed-point arithmetic and tested with different classifiers, such as hidden markov models, support vector machines, and euclidean distance classifier. We propose several new techniques to improve the performance of the new signature verification rate system.

Keywords

Verification Rate, Verification Rate, Hand Writing Recognition, Training Data, Testing Data.

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Tarun Dhar Diwan ¹, Fayaz Ahmad Lone ², Vinay Sahu ²

Affiliations
1 Deptt. of Engineering, Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Dr. C. V. Raman University, Bilaspur (C.G), IN

Abstract

In this paper, intelligent (smart) surveillance systems, which are now watching the video and providing alerts and content based search capabilities, make the video monitoring and investigation process scalable and effective. The programmed that analyze the video and provide alerts are commonly referred to as video analytics. These are responsible for turning video cameras from a mere data gathering tool into smart surveillance systems for proactive security. Smart surveillance systems have been enabled by the advances in computer vision, video analysis, pattern recognition and multimedia indexing technologies over the past decade. Additional video cameras are necessary to complement the surveillance information, especially for large scale applications. We aim to investigate new techniques and design new intelligent algorithms, which have to make use of partial information from several video sources. One of those is robustness of these techniques to changes in the environment: illumination, size of the objects and many others. Sometimes, additional video cameras are necessary to complement the surveillance information, especially for large scale applications. We aim to investigate new techniques and design new intelligent algorithms, which have to make use of partial information from several video sources. Object tracking data for further scene analysis and understanding.

Keywords

Surveillance Information, Segmenting, Object Tracking, Significant Percentage, Auto-Calibration.

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Tarun Dhar Diwan ¹, Bhoopendra Dhar Diwan ², Dilip K. U. Barik ³

Affiliations
1 Department Of Engineering, Dr. C. V. Raman University, Bilaspur (C.G), IN
2 Department of Basic Sciences, Dr. C. V. Raman University, Bilaspur (C.G), IN
3 Dr. C. V. Raman University, Bilaspur (C.G), IN

Abstract

The development of Digital image processing technology there are several applications. One of the applications is an image compression. The research assigned is to develop an Image Compression technique based on JPEG 2000 using Wavelet Transform For efficient representation of digital image in order to reduce the memory required for storage, improve the data access rate from storage device and reduce the bandwidth and time required for data transfer across communication channel wavelet transform is the best solution.
In this research the different types of wavelet function are used. Wavelet transform is used to convert the pixel information into transform coefficient. Transform coefficient are quantized and then entropy coding is performed. For reconstruction entropy decoding and inverse wavelet transform are done. In this project a comparative study has been done using different wavelet function such as Haar, dB4 and dB6 for the compression and reconstruction of the image.

Keywords

Wavelet Transform, Entropy Encoding Entropy Encoding Entropy Encoding, Compression Ratio, Image Processing.

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Tarun Dhar Diwan ¹

Affiliations
1 Dr. CV Raman University, Bilaspur, IN

Abstract

Eye blinking is one of the prominent areas to solve many real world problems. The process of blink detection consists of two phases. These are eye tracking followed by detection of blink. The work that has been carried out for eye tracking only is not suitable for eye blink detection. Therefore some approaches had been proposed for eye tracking along with eyes blink detection. This paper implements one of the approaches given by Michael. The result of template creation accuracy and total blink detection to count number of eye blinks in an image sequence. Online template is completely independent of any past templates that may have been created during the run of the system. At last after analyzing all these approaches some of the parameters we obtained on which better performance of eye blink detection algorithm depend.

Keywords

Template, Frames Interface, Testing, Automatically, Involuntary.

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Tarun Dhar Diwan ¹

Affiliations
1 Dr. CV Raman University, Bilaspur, IN

Abstract

The eyes are tracked and correlation scores between the actual eye and the corresponding "closed-eye" template are used to detect blinks. Eye blinking is one of the prominent areas to solve many real world problems. The work that has been carried out for eye tracking only is not suitable for eye blink detection. Stored template for a particular depth is chosen. Once the template is chosen and the system is in operation, the subject will be restricted to be at the specified distance. Another disadvantage of the system is that changing camera Positions require the whole system to be retrained the process of blink detection consists of two phases. These are eye tracking followed by detection of blink. The work that has been carried out for eye tracking only is not suitable for eye blink detection. Therefore some approaches had been proposed for eye tracking along with eyes blink detection. This paper implements one of the approaches given by Michael et al [1]. Further more the result of template creation accuracy and total blink detection to count number of eye blinks in an image sequence. Online template is completely independent of any past templates that may have been created during the run of the system. At last after analyzing all these approaches some of the parameters we obtained on which better performance of eye blink detection algorithm depend.

Keywords

Template, Frames, Interface, Testing, Automatically, Involuntary.

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