Image segmentation for detection of benign and malignant tumors
Cancer is a disease difficult to cure. Therefore, detecting a tumor at an early stage can be easier for treatment and then rescue someone from death. The objective of biomedical image processing is that the image will be enhanced and then segmented to support doctors more easily in diagnosing and treating. This paper proposes with the segmentation method to separate brain MRI image for edge detection of tumor structure. In particular, an MRI brain image can be enhanced using unsharp approach before segmentation of the MRI image using the Otsu method. The Otsu allows us to detect a suitable threshold to segment the tumor part from the image. After the threshold detection, the binary image will appear some objects. Therefore, the image will be labeled to create a binary image with the completely white tumor region for accurately determining the view of the region in the image. Thus, the tumor image edge will be found using the unsharp masks, particularly, the edge image will be processed to combine with the original for displacing the segmented image for estimate of image structure. Simulation results on a brain MRI image set will show that the proposed method is the effectiveness and it can be developed for detection of benign and malignant tumors in biomedical images.
2016 International Conference on Biomedical Engineering (BME HUST)