• K. Rama Lakshmi
• Dr.V.Srinivasa Raghavan
• V. Aishwarya
• K. Kowsalya
• S. Lalitha

Brain tumor is one in all the key causes of death among people. It is evident that the probabilities of survival are often accrued if the tumor is detected and classified properly at its early stage. Conventional strategies involve invasive techniques like biopsy, lumbar puncture or spinal tap method, to detect and classify brain tumors into benign (non cancerous) and malignant (cancerous). Digital thermal imaging is considered as a non-invasive diagnostic tool and a real-time monitoring technique for indicating the physiological changes of the underlying tissue from the superficial thermal signature. A thermal camera can detect temperature variations in the body, as low as 0.1°C. The observed color pattern depends on the prevailing temperature of the target in a controlled environment. Our proposed work, we given color-based thermal image and pattern is further processed for identifying abnormalities. This process of identification is done by applying various methods such as histogram equalization, Otsu thresholding and morphologic function. These steps are applied to thermal images of a brain tumor acquired from volunteers and abnormalities were identified. In this paper hardware implementation of segmentation of brain tumors will be carried out by using FPGA. It results in greater performance, less design and cost.

Histogram, Thresholding, Morphological function, Brain and FPGA.

"A Novel Approach for the VLSI Implementation of Brain tumor Detection using PNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.417-424, April-2019, Available :http://www.jetir.org/papers/JETIR1904L62.pdf

"A Novel Approach for the VLSI Implementation of Brain tumor Detection using PNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp417-424, April-2019, Available at : http://www.jetir.org/papers/JETIR1904L62.pdf