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Medical image processing is one of the most demanding domains of the computing sciences. The importance of the domain is in terms of the CPU and the memory requirements that shall be used by the system to compute the result. Moreover, the volume of the data is often very large in terms of the space and primarily requires many processing tools. At the same time, the tools have to be available as the real time applications, in order to be used by the physicians On the other hand; computational complexity is also another significant issue in the processing of the data. Therefore, the development of advanced and optimized algorithms is now sought as the way to improvise the effectiveness of the processing and development capability of the image processing systems. Thus, distance map (DT) has emerged as one of the most influential types of algorithms to enhance the computational capacity of the unit and further produce better results for the actual outcome of the system. The results of the output have been in high favour of the distance map algorithm. Moreover, the output has witnessed an increasing trend in the performance of the system and has been quite prominent in terms of acquiring the resources. The results of the conclusion has concluded the fact that, the application of the distance map algorithms has resulted in the reliable alternative that can be applied in the field to improvise the running norms and further speed up the existing procedures.

Non-Linear Distance Transformation Algorithm and its Application in Medical Image Processing in Healthcare