Shaik Fahimuddin, Sharma Anil Kumar, Ahmed Syed Musthak
Electronics and Communication Engineering, SunRise University, Alwar, Rajasthan India.
Institute of Engineering and Technology, Alwar, Rajasthan India.
Springerplus. 2016 Apr 23;5:507. doi: 10.1186/s40064-016-2152-2. eCollection 2016.
At present image processing methods hold a noteworthy position in unravelling various medical imaging challenges. The high risk disorders such as diabetic cardiomyopathy and diabetic retinopathy are considered as applications for proposed method. The dictum of this paper is on observing enhancement and segmentation of the cross sectional view of a blood capillary of a right coronary artery image of a diabetic patient and also retinal images. A hybrid model using hybrid morphological reconstruction technique as pre-processing with watershed segmentation method as post-processing is developed in this work.
目前，图像处理方法在解决各种医学成像挑战方面占据着重要地位。诸如糖尿病性心肌病和糖尿病视网膜病变等高风险疾病被视为所提出方法的应用领域。本文的主旨是观察糖尿病患者右冠状动脉图像以及视网膜图像中毛细血管横截面视图的增强和分割情况。在这项工作中，开发了一种混合模型，该模型以前处理采用混合形态学重建技术、后处理采用分水岭分割方法。
