Howtosignalprocessing
- What are the three types of segmentation in image processing?
- How image is segmented based on color?
- What is EDGE-based image segmentation?
- What is the problem of image segmentation?
What are the three types of segmentation in image processing?
Following are the primary types of image segmentation techniques: Thresholding Segmentation. Edge-Based Segmentation. Region-Based Segmentation.
How image is segmented based on color?
Image segmentation is a process of assigning a labe l to every pixel in an image such that pixels with same label share certain visual characteristics. Sometimes it becomes necessary to calculate the total number of colors from the given RGB image to quantize the image, to detect cancer and brain tumour.
What is EDGE-based image segmentation?
Edge-based segmentation relies on edges found in an image using various edge detection operators. These edges mark image locations of discontinuity in gray levels, color, texture, etc. When we move from one region to another, the gray level may change. So if we can find that discontinuity, we can find that edge.
What is the problem of image segmentation?
This leads us to two essential problems: 1) Different human observers will produce different segmentations of the same image, and 2) Human observers use high level knowledge, and solve high level vision problems such as recognition and perceptual completion while segmenting the image.
