Image Sensor Defect Detection and Classification
The objective is to detect and classify image sensor defects.
image sensor image
Original Image
 enhanced
Enhanced Image
 dark areas
Detected Defects

Image Segmentation (demo)
The objective is the fast and precise image segmentation.  Some examples are shown below.





 

Edge Detection (demo)
Canny Edge Detection.
Sigma= 1, Low= 0.4, High= 0.8
Sigma= 2, Low= 0.4, High= 0.8
Sigma= 1, Low= 0.3, High= 0.7
Line and Arc Finding (demo)

To extract the lines and Arcs in the images. (click on the image to see the bigger image showing the detected lines and arcs)
Iterative K-Means Clustering (demo)
Resampling (demo)