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Beside this, what is segmentation of an image?
In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as image objects). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.
One may also ask, what is segmentation in medical image processing? Medical Image Segmentation. Medical Image Segmentation is the process of automatic or semi-automatic detection of boundaries within a 2D or 3D image. Furthermore many different modalities (X-ray, CT, MRI, microscopy, PET, SPECT, Endoscopy, OCT, and many more) are used to create medical images.
Subsequently, question is, what are the different segmentation techniques?
The popular techniques used for image segmentation are: thresholding method, edge detection based techniques, region based techniques, clustering based techniques, watershed based techniques, partial differential equation based and artificial neural network based techniques etc.
What is EDGE based segmentation?
Edge Based Segmentation. Image processing is any form of information processing for which the input is an image, such as frames of video; the output is not necessarily an image, but can be a set of features giving information about the image [152].
How do you do segmentation?
- Identify the target market. The first and foremost step is to identify the target market.
- Identify expectations of Target Audience.
- Create Subgroups.
- Review the needs of the target audience.
- Name your market Segment.
- Marketing Strategies.
- Review the behavior.
- Size of the Target Market.