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Image Processing classify as three type. (1) Low level image processing (noise removal, image sharpening, contrast enhancement) (2) Mid level image processing (segmentation) (3) High level image processing (analysis based on output of segmentation)
image segmentation edge detection image manipulation threshold
segmentation is the process of dividing/splitting an image into it's constituent part for analysis purpose...
As a simple answer I can say: we do segmentation to separate homogeneous area. IN image processing it can be number of pixels with the same intensity in general.
1. Image acquisition 2. Image restoration/enhancement 3. Image segmentation 4. Image interpretation
Autonomous = done automatically by a software (used in robotics) Image segmentation = dividing the image into parts that can be used later to recognize relevant image features (like objects) The definition of autonomous segmentation is summing up both terms and refers to a automatic, without human intervention, segmentation of the image. It means that the segmentation algorithms auto-calibrate themselves. This may seem a simple task for a controlled indoor environment, but can also become a huge complexity in outdoor scenes where the lightning conditions are ranging from complete darkness to direct sunlight on the sensor.
Its name specifies definition. To get image from any source especially hardware based any source is called as image acquisition in the image processing because without image receiving/acquisition, the processing on the image is not possible. It is the first step in the workflow.
It is important to have image segmentation because it will help when processors are trying to adjust the image quality. They use this to make it a high level image.
image segmentation is the process of distinguishing the objects from back groung...like finding a particular cell from blood
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.
fail....
image processingIn electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.