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Edge detection generally applies to a square wave signal, such as a clock pulse or a trigger pulse. Then the edge detection comes from either using the rising voltage, or the falling voltage of the signal (usually a square wave) to trigger the next event. Using the falling voltage implies a delay in the signal and the rising pulse to trigger an immediate `step` in the circuit.
What else can I help you with?
What is prewitt filter?
prewitt filter is kind of edge detection and almost is better than many kind filter in edge detection ............. the code in matlab is: i=imread('cameraman.tif'); edge_p=edge(i,'prewitt');
Advantage of edge detection?
It enhances edges. :D
Types of Edge detection method?
There are many species , including prewitt sobel robort
What are the areas in image processing?
image segmentation edge detection image manipulation threshold
Why smoothing and edge detection have conflicting aims?
Smoothing and edge detection have conflicting aims because smoothing aims to reduce noise and detail in an image to create a more uniform appearance, while edge detection seeks to highlight and identify abrupt changes in intensity or color that signify boundaries or features within the image. Smoothing can obscure these critical edges, making it harder to accurately detect them. Consequently, while smoothing enhances overall image quality, it can diminish the very details that edge detection relies on to function effectively. This inherent tension requires careful balancing in image processing tasks.
What has the author Ruzena Bajesy written?
Ruzena Bajesy has written: 'A common frame work for edge detection and region growing'
What has the author Colin David McIlroy written?
Colin David McIlroy has written: 'A pipelined parallel processor for real-time edge detection'
Why you use gray image for edge detection?
This is because edge detection tries to find out significant transitions in luminosity/brightness in an image. Therefore grayscale images are used, since in grayscale the brightness of an image is modeled. You can of course use other characteristics of a pixel (like the red color) if the scene is illuminated in red or if the edges to be detected belong to objects that reflect the red color specter most.
What do you need to know before you can write shape recognition programs for c plus plus?
Shape detection requires a slew of techniques, including edge detection, pattern matching, probability analysis, feature detection, middle mass and blob detection, image correlation and pixel classification. Recognising simple shapes like triangles, squares and circles is relatively easy. Use edge detection to find the border line and count the number of edges. If one line, it's a circle, three is a triangle and four is a square. You can then analyse the lengths and angles to determine more specific information, such as ellipse, right-angled triangle, rhomboid, parallelogram and so on. For more complex shapes, you'll need to use pattern matching, feature detection and probability analysis. The remaining techniques are primarily used for detecting 3D planes in a 2D image, separation and classification of objects and so on.
Can you help with a sentence for the word detection?
detection
How can I use the Refine Edge Tool in After Effects to enhance the quality of my video compositions?
The Refine Edge Tool in After Effects can help improve the quality of your video compositions by allowing you to create more precise and detailed masks around objects in your footage. This tool can help you achieve better edge detection and smoother transitions between elements in your composition, resulting in a more polished and professional-looking final product.
Used for error detection?
Used for error detection
