Bild (big image in less dimension): A novel technique for image feature selection to apply partial least square algorithm
Current smartphone camera can capture high-definition (HD) video. It is hard to process a lot of video frames for a conventional personal computer due to the high-resolution image. High configured computer can extract the color pixel information from this type of video image, though it takes unreasonable time. For this reason, we proposed a novel way to record the image pixel information in a histogram as the feature of a video image. Each image frame is converted into red, green and blue (RGB), as well as hue saturation and value (HSV) color space. Using the features from RGB and HSV color space.
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Bild (big image in less dimension): A novel technique for image feature selection to apply partial least square algorithm
Semantic Scholar · Computer Science · 2017
Abstract
Current smartphone camera can capture high-definition (HD) video. It is hard to process a lot of video frames for a conventional personal computer due to the high-resolution image. High configured computer can extract the color pixel information from this type of video image, though it takes unreasonable time. For this reason, we proposed a novel way to record the image pixel information in a histogram as the feature of a video image. Each image frame is converted into red, green and blue (RGB), as well as hue saturation and value (HSV) color space. Using the features from RGB and HSV color space.