Machine Learning Techniques for VLSI Chip Design

12Tumor Detection Using Morphological Image Segmentation with DSP Processor TMS320C6748

T. Anil Raju¹*, K. Srihari Reddy¹, Sk. Arifulla Rabbani¹, G. Suresh¹, K. Saikumar Reddy¹ and K. Girija Sravani²†

¹ Department of Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Krishna District, Andhra Pradesh, India

² Department of Electronics and Communication Engineering, KL University, Green Fields, Andhra Pradesh, India

Abstract

Image processing continues to enable the technology revolution that we are experiencing today. The main objective is to carry out a new cooperative approach for image segmentation and feature extraction using DSP Processor with good accuracy. The basic process involved in this paper to understand image segmentation is Edge detection. To improve the segmentation process and better estimation of the final clusters centers, involvement of DSP processor is used for computation and accuracy. Image segmentation using DSP processor TMS320C6748 is implemented in this proposed work. After detecting the edges of the image, Segmentation is done based on Morphological operations. The performance is measured by including some various optimization techniques and all results are shown using CCS platform. Hence our proposed method shows that the segmentation computation and accuracy is improved.

Keywords: Image segmentation, DSP processor TMS320C6748, thresholding method

12.1 Introduction

Image processing is an active research ...