• GEMBALI SAI CHAITANYA
• KANDULA PRUDHVI RAJU
• DADI TARAKA RAMA RAO
• KUNAPAREDDY THARUN RAJESH
• PUTTI SRINIVAS RAO

In this paper crack detection using image processing is studied. Image processing technique is an effective tool used for crack detection in engineering materials and there is an increasing interest in image-based crack detection for inspection. Cracks are an important parameter to be identified when it comes to safety of materials or infrastructure. Cracks leads to fracture which in turn leads to failure of material so it is necessary to find a method that is easy to analyze the properties of a material in identifying crack which occurred in a structure due to cycling loading, fatigue stress, internal stress, exposure to high temperatures and to eliminate manual inspection in most of the real time applications, Image processing methods are helpful in determine defectives which leads to automated inspection replacing old manual methods. Thus, industries find a great advantage in identifying defective items by implementing image processing techniques and which substantially leads to their increased production run and image processing finds many more applications in today’s technological world like cancer imaging, brain imaging, remote sensing, moving object tracking, defense surveillance etc. Research also focuses on the various image processing techniques used to detect crack. Based on the review, analysis is done, and a suitable conclusion is drawn. This approach has helped in elevating our control over manual inspection.

Crack detection; image processing; MATLAB; techniques.

"Crack Detection Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.143-149, May-2019, Available :http://www.jetir.org/papers/JETIR1905319.pdf

"Crack Detection Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp143-149, May-2019, Available at : http://www.jetir.org/papers/JETIR1905319.pdf