Bank account C Project involves maintaining of account related information. This requires greater accuracy, speed that is why the proposed system is the computerization of the existing system.

Account system involved maintaining data related different customer and his transaction. This required greater accuracy, speed that is why the proposed system is the computerization of the existing system. The computerized system does the job of the monitoring the information easy and effective manner.

The application certainly has same striking advantage over manual system. There will be no paper work as possible and the information will be updated as it changes. It is automation of Telephone directory system. With this system one can generate the report of the address. It secures the database of Telephone directory system from the unauthorized person. 

The application certainly has some striking feature over manual system. User queries have become quite accurate and efficient. Lot of paper work has been eliminated. 

Future modification and enhancements have become quite easier now in comparison to the previous manual system. Last but one of the most important advantages of the banking system is that, through this system the whole procedure will take too less time in comparison of the manual system. 

Use of BAS: 

No doubt BAS will be helpful for institutes in all procedure, which will be monitoring through Account. At the first step BAS will only be installed in the bank. 

Primary Advantage of BAS: 

The main advantage of BAS is that, it will become a powerful tool in establishment of better system in comparison of the existing system. It helps to protect the system from the corruption. After installation of BAS in the bank, there is a greater possibility of stabilization a clear and fair system, which will be accurate, update and fast. There is no doubt that there always remains some scope of improvement. 

The important thing is that the system developed should be flexible to accommodate any future enhancements. This system can be used to provide some enhancement without rewriting of existing code.

download Project Report  and sample code of  CSE Bank account C Project.

Description: 

An image segmentation c++ project may be defined as two-dimensional function as f(x, y) where x and y are spatial (plane) coordinates and the amplitude of f at any pair of coordinates (x, y) is called the intensity or gray level of the image at that point. 

When x, y and the amplitude values of f are all finite discrete quantities, we call the image a digital image.

The field of digital image processing refers to processing digital images by a digital computer. 

Elements are referred to as picture elements, image elements, peels, and pixels. Segmentation refers to the process of partitioning a digital image into multiple regions. 

The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves) in images. 

The result of Image Segmentation is a set of regions that cover the entire image or a set of contours extracted from the image.  A Voxel is a volume element representing a value on a regular grid in 3-D space. 

This is analogous to a pixel, which represents 2-D image data voxels are frequently used in the visualization and analysis of medical and scientific data. In 3-D space, each of the co-ordinates is defined interns of its position, color, and density.

Think of a cube where any point on an outer side is expressed with an x, y, and the third Z co-ordinate defines a location into the cube from that side, its density and its colour with this information and 3-D rendering software, a 2-D view from various angles of an image can be obtained and viewed on our computer. 

Medical Practitioners and Researchers are now using images defined by voxels and 3-D software to view X-rays cathode tube scans and Magnetic Resonance Imaging MRI) scans from different angles effectively to see the inside of the body from outside. 

Objective: 

The main objective of Image Segmentation is to divide an image into regions that can be considered homogeneous with respect to a given criterion such as color or texture. 

Segmentation is an essential part of any Image analysis system and especimedical Medical environments where segmented images provide valuable information for Diagnosis. 

Computation of 3D-GSC algorithm for real-time 3D image segmentation in medical and industrial applications. 

Conclusion: 

There are varieties of useful applications that demonstrate the need for precise segmentation of image data. This chapter describes the need for segmentation and types of segmentation and video segmentation.