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This paper proposes a face detection algorithm combined skin color detection and improved AdaBoost algorithm. First, skin regions are segmented from the detected image, and candidate face regions are obtained in terms of the statistical characteristics of human face; Then focusing on the phenomena of overfitting in training process of classical AdaBoost algorithm, this paper proposes a novel method...
This paper introduces novel methods for detecting blemishes in potatoes using machine vision. After segmentation of the potato from the background, a pixel-wise classifier is trained to detect blemishes using features extracted from the image. A very large set of candidate features, based on statistical information relating to the colour and texture of the region surrounding a given pixel, is first...
Caused by light reflected off the subject's retina, red-eye is a troublesome problem in consumer photography. Correction of red eyes without any human intervention is an important task. There are some algorithms existing for red-eye detection, but almost all of them have less accuracy, in addition, they cannot support both high pixel and single red-eye. In this paper, a novel approach is proposed...
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