Tuesday, 19 September 2017

Drowsy Driver Detection Complete Full Matlab code

ABSTRACT
               Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness  has been done thru several methods, some research used EEG for drowsy detection ,and some used eyeblink sensors,this project uses web camera for Drowsy detection.Webcamera is connected to the pc and images were acquired and processed by matlab. The aim of this project is to develop a prototype drowsiness detection system. The focus will be placed on designing a system that will accurately monitor the eye  movements of a driver in real-time. By monitoring the eye movements, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident.
How It Works
 OUTPUT
Contact:  
Mr. Roshan P. Helonde
Mobile / WhatsApp:+91-7276355704

Micro Calcification Detection Using Wavelet Transform Full Matlab Project

ABSTRACT

            The World Health Organization's International agency for Research on Cancer in Lyon, France, estimates that more than 150 000 women worldwide die of breast cancer each year. The breast cancer is one among the top three cancers in American women. In United States, the American Cancer Society estimates that, 215 990 new cases of breast carcinoma has been diagnosed, in 2004. It is the leading cause of death due to cancer in women under the age of 65 . In India, breast cancer accounts for 23% of all the female cancers followed by cervical cancers (17.5%) in metropolitan cities such as Mumbai, Calcutta, and Bangalore. However, cervical cancer is still number one in rural India. Although the incidence is lower in India than in the developed countries, the burden of breast cancer in India is alarming. Organ chlorines are considered a possible cause for hormone-dependent cancers . Detection of early and subtle signs of breast cancer requires high-quality images and skilled mammographic interpretation. In order to detect early onset of cancers in breast screening, it is essential to have high-quality images. Radiologists reading mammograms should be trained in the recognition of the signs of early onset of, which may be subtle and may not show typical malignant features. Mammography screening programs have shown to be effective in decreasing breast cancer mortality through the detection and treatment of early onset of breast cancers.
          Emotional disturbances are known to occur in patient's suffering from malignant diseases even after treatment. This is mainly because of a fear of death, which modifies Quality Of Life (QOL). Desai et al.,reported an immuno histo chemical analysis of steroid receptor status in 798 cases of breast tumors encountered in Indian patients, suggests that breast cancer seen in the Indian population may be biologically different from that encountered in western practice. Most imaging studies and biopsies of the breast are conducted using mammography or ultrasound, in some cases, magnetic resonance (MR) imaging . Although by now some progress has been achieved, there are still remaining challenges and directions for future research such as developing better enhancement and segmentation algorithms. 

PROJECT OUTPUT
 Fig: Project Output
 
Contact:  
Prof. Roshan P. Helonde
Mobile / WhatsApp:+91-7276355704

Friday, 5 June 2015

Image Processing Based Projects

Download Full Project for B.E, B.Tech, BCA, MCA, M.E, M.Tech, B.Sc, M.Sc and Polytechnic

1. An Implementation of Image Enhancement Using Histogram Equalization and Brightness  Preserving Bi-Histogram Equalization

2. A LSB Based Steganography for Video Stream with Enhanced Security and Embedding/Extraction

3. A High Capacity Steganography Technique for JPEG2000 Compressed Images Using DWT

4. DCT Based Recognition of Human Iris Patterns for Biometric Identification

5. An Implementation of Improved SPIHT Algorithm with DWT for Image Compression

6. An Efficient Approach For Number Plate Recognition By Neural Networks And Image Processing

7. A New Secured And Robust Dual Image Steganography Approach For Encrypted Image

 8. A Novel Method For Medical Image Fusion By Integrating PCA And Wavelet Transform

9. A Robust Digital Image Watermarking Based On Joint DWT And DCT

10. An Improved Image Compression Using Embedded Zero-Tree Wavelet Encoding And Decoding Technique

11. A Secure And Robust High Quality Steganography Scheme Using Alpha Channel

12. Eigen Value Based Rust Defect Detection And Evaluation of Steel Coating Conditions

13. Content Based Image Retrieval System Based On Dominant Color And Texture Features

14. An Implementation of Data Hiding Technique Using LSB Based Audio Steganography

15. Audio Noise Reduction of Speech Signal Using Wavelet Transform

16. An Efficient Brain Tumor Detection Algorithm Using Watershed And Segmentation Methods

17. Real Time Face Detection And Tracking Through Webcam

18. An Improved Image Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution Technique

19. Automated Feature Extraction For Detection of Diabetic Retinopathy In Fundus Images

20. Real Time Implementation of Moving Object Tracking In Video Processing Through Webcam

21. A Contrast Enhancement Technique Using Histogram Equalization Methods On Images

22. Design of Face Recognition System Using Principal Component Analysis

23. Palmprint Recognition And Feature Extraction System Using Gabor Filters

24. An Efficient Approach For Brain Tumor Detection In MRI Images Using Rough Set Theory

Click Here to Download FULL ABSTRACT

Monday, 30 March 2015

Saturday, 6 December 2014

Friday, 5 December 2014

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CONTACT US

Prof. Roshan P. Helonde
Mobile / WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com

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