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What is Computer Vision?
Computer vision is that the field of technology that focuses on replicating elements of the complexness of the human vision system and sanctionative computers to spot and method objects in pictures and videos within the same method that humans do.
Face detection applications use algorithms and ML to find human faces within larger images, which often incorporate other non-face objects such as landscapes, buildings and other human body parts like feet or hands
The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to provide `better' input for other automated image processing techniques.
Image Restoration is a subset of computer vision. In Image restoration problems we basically mean that we have a degraded image and we want to recover
the clean non-degraded
Color Image Processing
In automated image analysis, color is a powerful descriptorÆ simplify object identification and extraction from a scene. For human visionÆ human eye can discern thousands of color shades and intensities (only two dozen shades of gray)
Wavelets and Multi-Resolution
Although Fourier and Wavelet Transform have been widely used for texture classification methods in medical images, the discrimination performance of FDCT has not been investigated so far in respect to breast cancer detection
Process that allows those methods to learn data-driven features, generally based upon linear operations. In some scenarios, such operations do not have a good performance because of their inherited process that blurs edges.
Segmentation is the process of separating your data into distinct groups. This is a core activity in most business problems. A well‐defined segment is one in which the members of the segment are similar to each other and also are different from members of other segments.
Object Detection and Tracking in Machine Learning are widely used in Computer Vision Object detection is a technology related to computer vision and image processing that deals with detecting and locating objects of a certain class in digital images and videos.
CCTV cameras are widely used in various surveillance settings, from street corners to university. That need to analyses the captured data using video analytics . The main goal of video analytics is to automatically recognize temporal and spatial events in videos.