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OBJECT SEGMENTATION BASED ON MULTI ANGLE IMAGES ON MOBILE DEVICE BY PONG CHANG SHE NGA REPORT SUBMITTED TO University Tank Abdul Rahman in partial fulfillment of the requirements for the degree of
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How to fill out object segmentation based on

01
To fill out object segmentation based on point by point, follow these steps: 1. Start by selecting the object or area you want to segment.
02
Use a digital image editing software such as Photoshop or GIMP to open the image you want to work on.
03
Zoom in to get a better view of the object or area you are going to segment.
04
Use the Pen Tool or any other suitable tool in your chosen software to create an outline around the object or area. Be as precise as possible.
05
Continue creating points along the object's edges, following its contours. You can adjust the curvature of the lines by dragging the control handles.
06
Once you have completed the outline, make sure it is closed by connecting the first and last points.
07
Double-check your work to ensure there are no gaps or inaccuracies in the segmentation.
08
Save your segmented object as a separate layer or a mask, depending on your software's capabilities.
09
You can further refine the segmentation by using various tools like feathering, smoothing, or adjusting the contrast as needed.
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Finally, save your completed segmented object in an appropriate file format such as PNG or TIFF.

Who needs object segmentation based on?

01
Object segmentation based on point by point is useful for various applications, including:
02
- Image editing and retouching: It allows for precise isolation of objects or areas for further editing or manipulation.
03
- Computer vision and image analysis: It provides accurate delineation of objects or regions of interest for further analysis or algorithms.
04
- Medical imaging: It aids in the segmentation of organs or structures in medical images for diagnosis, treatment planning, or research purposes.
05
- Augmented reality and virtual reality: It helps in separating objects from their backgrounds to enable realistic overlay or virtual manipulation.
06
- Forensic analysis: It assists in the detailed examination and isolation of objects or evidence in forensic investigations.
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Object segmentation is based on dividing an image into multiple segments to identify and categorize different objects within the image.
Object segmentation is typically done by computer vision algorithms or machine learning models to assist in image recognition tasks.
Object segmentation can be filled out by using software tools or programming languages that support image processing and segmentation algorithms.
The purpose of object segmentation is to accurately identify and localize objects within an image for various applications like object detection or image classification.
The information reported in object segmentation includes the coordinates of the segmented objects, their labels, and possibly additional attributes depending on the specific application.
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