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Edge-Based IVD Segmentation System
Abstract:-
The determination of flame or fire edges is the process of identifying
a boundary between the area where there is thermo chemical reaction and those
without. It is a precursor to image-based flame monitoring, early fire detection, fire
evaluation, and the determination of flame and fire parameters. Several traditional
edge-detection methods have been tested to identify flame edges, but the results
achieved have been disappointing.Some research works related to flame and fire
edge detection were reported for different applications; however, the methods do
not emphasize the continuity and clarity of the flame and fire edges.A computing
algorithm is thus proposed to define flame and fire edges clearly and continuously.
The algorithm detects the coarse and superfluous edges in a flame/fire image first
and then identifies the edges of the flame/fire and removes the irrelevant artifacts.
The auto adaptive feature of the algorithm ensures that the primary symbolic
flame/fire edges are identified for different scenarios. Experimental results for
different flame images and video frames proved the effectiveness and robustness of

2. the algorithm. Although the system is based on a simple edge detection method
and applied on sagittal and axial planes, it provides fast, memory efficient, and
outstanding segmentation results for both planes, which is unprecedented. This
binary gradient mask has been superimposed Over the original spine image to
obtain the new image that Contains objects less than original image. The most
important element in validating the accuracy of any segmentation algorithm is the
gold standard. Particularly, in the image segmentation problem.
Existing System:-
 The thresholds play an important role which used in the image edge
detection. The edge is not only the basic feature of an image but also the
basis of shape quality analysis.
 Self-adaptive Threshold Based on Otsu -There are lots of image
segmentation methods based on gray-scale histogram Otsu method was also
used in edge detections to get the high threshold.
 In this Technique quality of the image is poor and doesn’t validate the
surroundings.
 A new binary threshold image has been created followed by the
determination of the connected components (objects) and determining the
class of each component.
Proposed System:-
 A computing algorithm is thus proposed to define flame and fire edges
clearly and continuously.

3.  The auto adaptive feature of the algorithm ensures that the primary symbolic
flame/fire edges are identified for different scenarios. Experimental results
for different flame images and video frames proved the effectiveness and
robustness of the algorithm.
 It is desirable to develop a dedicated edge detection method for flame and
fire image processing. Accordingly, a new computing algorithm is proposed
in this paper to process a combustion image and to identify flame/fire edges.
 By providing experimental results and comparisons, we demonstrate an
algorithm that can achieve a high-quality simplification result.
Hardware Requirements:-
 SYSTEM : Pentium IV 2.4 GHz
 HARD DISK : 40 GB
 RAM : 256 MB
Software Requirements:-
 Operating system : Windows XP Professional
 IDE : Microsoft Visual Studio .Net 2010
 Coding Language : C#.net.