Advances in Computational Sciences and Technology ISSN 0973-6107 Volume 10, Number 6 (2017) pp. 1807-1818 © Research India Publications http://www.ripublication.com An Efficient Localisation of Cellular Change Using Tuned Gabor Filter in Prostatic Cases Prajith Prakash Nair Research Scholar, Jain University, Bangalore, India. Dr. T.R.Gopalakrishnan Nair Rector, Sri Rajarajeshwari College of Engineering, Bangalore, India. Abstract Investigative imaging has come a long way in diagnosing various kinds of diseases from tuberculosis to cancer. Significant success levels augmented with various other clinical proofing as MRI has become more or less popular. Several inflammatory conditions are diagnosed with the help of this imaging service. Prostatic is one of the obstruction causing organs, prone to inflammation. Successful imaging and successful detection are considered to be the most significant step in treating such inflammations. As the imaging technology has improved, the demand for various image processing techniques for specific detection of the condition of the body has become more vital. Here we present an efficient image analysis approach using tuned Gabor filter scheme to locate and mark the cellular change happening in prostate due to various reasons of inflammation. The process involves identifying a properly tuned Gabor filter parameter to detect subdued cellular variations manifested through intensity modulation in 2 dimensional images from MRI systems. We present here a method to detect the cellular variation available through MRI images using tuned Gabor filters .We also propose a segmentation approach suitable for characterization of these images. Keywords: Gabor Transforms, Gabor Filters, Parameters To Tune Gabor Filter, MRI, Fuzzy C-Means