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AN IMAGE PROCESSING ALGORITHM TO PREPROCESS, SEGMENT, CLASSIFY AND GRADE LIVER CANCER: HEPATOCELLULAR CARCINOMA (HCC) TYPE By AYESHA ADSL Synthesis submitted for the Degree of Doctor of PhilosophyDEPARTMENT
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How to fill out an image processing algorithm

01
Begin by defining the input image that you want to process.
02
Preprocess the image by applying techniques such as noise reduction and normalization.
03
Choose the appropriate image processing algorithm based on the desired outcome, such as segmentation, feature extraction, or object detection.
04
Implement the algorithm by coding the necessary steps in a programming language like Python or MATLAB.
05
Test the algorithm on sample images to ensure it is functioning correctly.
06
Fine-tune the algorithm parameters if necessary to improve performance.
07
Apply the algorithm to process the input image and obtain the desired result.

Who needs an image processing algorithm?

01
Researchers working in the field of computer vision and image analysis.
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Engineers developing applications in robotics, healthcare, surveillance, and other domains that require automated image processing.
03
Photographers and graphic designers looking to enhance or manipulate digital images.
04
Security agencies using image processing for facial recognition and biometric identification.
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Forensic experts analyzing digital evidence in criminal investigations.
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An image processing algorithm is a set of mathematical approaches used to perform image processing tasks such as image enhancement, restoration, segmentation, and recognition.
Companies or individuals developing image processing software or applications may be required to file an image processing algorithm.
An image processing algorithm can be filled out by documenting the steps and parameters involved in the algorithm, along with any testing or validation procedures.
The purpose of an image processing algorithm is to manipulate digital images to achieve desired outcomes such as improving image quality or extracting important information.
Information such as the algorithm methodology, input and output data, parameters used, and any performance metrics or benchmarks should be reported on an image processing algorithm.
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