Improvement of Weld Images using MATLAB –A Review

In recent years, gamma rays are been used as an improvement method or a tool along with the combination of image processing technique. It has been giving out better result in the detection of any flaws, or hole in case of the weld metal images and they are being adapted and improved ever since. Image processing is the vast area that has its roots in various fields and some of the important areas, where they have been used are in x-ray image, gamma rays and biometrics (iris & fingerprint) using the template matching technique. The radiography test is done using gamma rays for the given input expecting to display the places that has been affected or the ones with flaws in case of a welded metal, using the met lab technique, such as fuzzy and edge detection methodologies along with the filtering process called a gabor filter which is expected to provide corresponding result which is known as a film that is to give better output. The fuzzy technique is the one that has the attention as of know by all the researches since is known exact result like true or false value it can instead provide a degree of results sounds in between range of values as into help with detection of flaws and noises like the salt and pepper (black and white) error that appears in the image (weld image) this type of error may reduce the quality of weld metal image with a usage of fuzzy method the degree of errors are stated. The edge detection is another technique in image processing that detects the outer surface of the weld image perfectly like the active contours and canny operators, along with its own method and pre-processing are smoothing while segmentation is used to state the different region of the image and how they are split and are helpful to define the region that are with defects. The Gabor filter that is used in edge detection is said filter how the defects of the weld image that is given. Keywords: - Radiographic images, Image