Crack Detection using OpenCV and Python Crack detection image processing Image Processing











>> YOUR LINK HERE: ___ http://youtube.com/watch?v=URdVXQiLIPc

Peoject: Crack Detection in images • Demonstration of Crack Detection using Python IDE. • Steps: • Step1: Remove the inhomogeneous background illumination. • Step2: Apply a big gaussian blurring and subtract the original image from the blurred one. • Step3: Apply Sobel edge detection and a morphological close. • Step4: Remove the noise using blob analysis (e.g. remove regions with small areas). • Note: In principle, you have to convert the image between 0 and 1 before GaussianBlur. Additionally to get better results you also can apply a non-maximal suppression after Sobel. • Source Code Link: • https://drive.google.com/drive/folder... • #Crackdetectionusingpython, #Python, #Sobeledgedetection, #Crackdetectionmethods, #Crackdetectionusingimageprocessing, #Crackdetection • ====*==== • For More Videos: • ● Face Recognition based Attendance System •    • Face Recognition based Attendance Sys...   • ● Vehicle Detection And Counting Using Python •    • Vehicle Detection And Counting Using ...   • ● Real-Time Face recognition •    • Face Recognition with OpenCV in Pytho...   • ●Smile Detector Using python •    • Realtime Smile And Face Detection Usi...   • ●Face and Eye detection Using python •    • Face and Eye Detection using Opencv p...   • ●Fire detection using python. •    • Fire Detection using OpenCV and Pytho...   • ●Bird Detection Using python •    • Detecting Birds In  A Video Using Python   • ●Student Management System Using Python and SQL •    • Student Management System |  Student ...   • ● Python Tutorial In Detail •    • Python Programming Language   • ● Data Visualisation Running Graph •    • Data Visualization   • ● Computer Hacks and Tricks •    • Computer Tricks And Hacks   • ====*==== • Follow Me Here For More Help or Queries • Facebook -   / falcon-infomatic-108235664061988   • Instagram -   / falconinfomatic   • ====*==== • SUBSCRIBE NOW for weekly videos on Python Tutorial, Computer Hacks and Tricks, Data Visualisation, Technology, and Many More.

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