Detect and highlight edges using Sobel, Canny, and other algorithms. Features threshold control, direction filters, and contour extraction.
Detect and highlight edges in images using algorithms like Sobel and Canny. Edge detection isolates boundaries and contours, which is useful for computer vision tasks, artistic line-drawing effects, or analyzing structural details in photographs.
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You want a line-art version of a photo to use as a colouring-page or trace guide.
Input
portrait.jpg · Sobel · threshold medium
Output
A black-on-white edge map outlining the major contours
Edge detection highlights where brightness changes sharply, which corresponds to object outlines, the basis of line art and a preprocessing step for tracing. The threshold controls how much fine texture survives.
Detect and highlight edges in images using algorithms like Sobel and Canny. Edge detection isolates boundaries and contours, which is useful for computer vision tasks, artistic line-drawing effects, or analyzing structural details in photographs.
Extract clean line drawings from photographs for tracing, coloring, or artistic use.
Prepare images for object detection pipelines by isolating structural edges.
Highlight structural lines in building or engineering photographs.
Sobel is simpler and faster, detecting edges by computing intensity gradients. Canny is more sophisticated, it uses non-maximum suppression and hysteresis thresholding to produce cleaner, thinner edges with fewer false positives.
Yes. The threshold slider controls sensitivity. Lower thresholds detect more edges (including subtle ones), while higher thresholds only capture strong boundaries.
Images are decoded, edited, and exported entirely inside this browser tab. No originals, exports, or metadata are uploaded.