Edge detection is the prior stage to object recognition and considered as a pillar for image processing task. It is a process to detect such locations from images in terms of pixels where their intensity changing is abruptly. There are many types of images such as medical images, satellite images, articular images, industrial images, general purpose images etc. X-Ray is a type of medical image in which electronic radiation is passed into the human body to capture image of inner parts for better disease diagnoses by orthopaedics or radiologist. In this research paper, we have proposed an improved method to detect edges from human being's X-Ray images based on Gaussian filter and statistical range. Gaussian filter is used for image preprocessing and enhancement. Whereas, Statistical range is used to calculate difference between maximum and minimum pixels from every 3X3 image matrix partition. These two can work to detect edges from X-Ray images. We have also presented a comprehensive comparison of our proposed method with four existing latest methods/algorithms of edge detection. Apart from X-Ray images, experiments have also been conducted on human X-Ray images to detect edges. Further, we have found that our proposed method is superior in terms of MSE, RMSE, PSNR and computation time to detect edges from X-Ray images of human being.

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For the last few years, development in Information and Communication Technology is remarkable and still the development is under progress which can be easily observed in the current trend and the market is the evidence for it. Universities are the main source provider for IT Skilled personals to fulfill the demands of IT People in the Market. This situation arise a clear question in our mind that whether the current Lab facilities are satisfactory up to which level especially to the students who are the actual users and beneficiary of the Lab Resources. To answer this question, we conduct a survey type of research by conducting some test on the Lab Users and after analyzing few parameters like Infrastructure, Arrangement, Timings, Internet facility, laboratory practical literature, Updated version of all software, User rights, Assistant teacher's availability, all practical in parallel with theory class, faculty response for the practical and important of all, the benefit of the lab subject syllabus design to the student career. From the data obtained, we came to know about results which are present in this paper to throw the light upon current practice by the Department of Computer Science and also suggested the solutions for the issues which came up during the research study.