I- Introduction

II- Material And Method

III- PROPOSED METHODOLOGY AND ANALYSIS

IV- Conclusion

References

Abstract

Image processing is a processing technique with the help of mathematical operations. It uses any of the form of signal processing. Here the input is an image or video and the output is also an image or a set of image. This technique is also used in medical applications for various detection and treatment. In this paper, it has been used to detect cancer cell of the liver. Here ostu’s method is used for enhancing the MRI image and watershed method is used to segment the cancer cell from the image.

INTRODUCTION

CANCER is the abnormal growth of the tissue in an organ. Liver cancer is a type of cancer which affects the largest organ of the abdomen, liver. It is of two types namely Primary Liver Cancer and Secondary Liver Cancer. Primary Liver Cancer originates in the liver itself and is known as Hepatocellular Carcinoma (HCC) or Hepatoma. Secondary Liver Cancer is a type growth of cancer cell where the cancer cell originates from different organ and spread to liver. The first step is to find an image to do the further processing. MRI is a high quality imaging technique which produces the structure of human organ in more defined manner and useful for diagnosis of diseases and Biological Research [1-5]. The results of an MRI image are greatly enhanced by automotive and accurate classification of image [6-8]. The second step includes several enhancement technique to get best quality of the image by removing the unwanted noise from the image. The third stage segment or detect the cancer cell using segmentation. Block diagram of input image shown in Fig. 1.The rest of this paper Section II describes the Material and method. Proposed methodology in Section III. finally concludes the paper in Section IV.