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.
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)
1. Image acquisition 2. Image restoration/enhancement 3. Image segmentation 4. Image interpretation
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 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.
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.
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
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.
image processing,photographing in different wavelengths is the unique capability in it.
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.
The tile threshold transition is important in image processing algorithms because it helps to separate different regions of an image based on their pixel intensity levels. This transition allows for more accurate segmentation and analysis of the image, which is crucial for tasks such as object detection and image enhancement.
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.
Image segmentation involves dividing an image into different regions based on pixel intensity or color, while object detection focuses on identifying and locating specific objects within an image. In other words, segmentation separates the image into parts, while detection identifies and recognizes objects within the image.
i don't know and i don't need a friend to help me out