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What is Image Processing ?
Basic definition of image is visual representation of something or someone. Example of any drawing, painting and photograph etc. It may be black and white or color.
Image processing is a technique of applying a relevant mathematical operation or an algorithm on a digitized image to generate an enhanced image or extract some useful information like shape, color and edge. The image processing generally includes three steps. The first step is to import the image by using the scanner or by digital photography. Second step is to analyze and manipulate the image which includes data compression, Image enhancement and spotting pattern. Output is the last stage in which the result can be altered. The purpose of image processing and various image processing operations that are widely used for example image segmentation, object detection, image enhancement, image restoration, color image processing, morphological operations etc.
Methods used for image processing operation
Image enhancement : Image enhancement is a technique of adjusting digital images so that the images are more suitable for display.
Image segmentation : Image segmentation is a process of partitioning a digital image into multiple regions and extracting the meaningful region which is known as Region of interest.
Object detection : Object detection is the term to describe a collection of data and identify the object in digital images captured by the cameras
Image restoration : Image restoration is the technique of taking a corrupt or noisy image to make it a clean image.
Image Processing Homework Help
Artificial intelligence is a popular course that has been introduced in educational institutions and universities and deep learning is the subfield of artificial intelligence. For Image processing tasks mainly use deep learning algorithms. Machine learning made automating tasks performed by humans. It helps humans to save time, effort and money.
Students who are pursuing the Machine learning or Artificial intelligence course face difficulty to complete the homework on time due to a busy schedule. Students need to deal with a lot of complex terminologies to solve Machine learning Homework Assignments or Artificial Homework Assignments. They look for help. Programming often gives a tough time to students struggling to meet their deadline for the homework or assignments.
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