Huaibo Song

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For apple harvesting robot, it is difficult to acquire the coordinates of occluded apples accurately in natural scenes, which is important in implementing picking tasks. In this paper, a method on automatic recognition and localization of occluded apples was proposed. Firstly, an apple recognition algorithm based on K-means clustering theory was described.(More)
The conventional de-noising methods cannot achieve an excellent result in de-nosing of agricultural images. To solve this problem, a new de-noising method based on Genetic Algorithm (GA) and Wavelet Transform was presented, which combines the advantage of Wavelet Transform de-noising and Wiener Filter together. At first, the image de-noised by Wavelet(More)
Remote sensing systems based on consumer-grade cameras have been increasingly used in scientific research and remote sensing applications because of their low cost and ease of use. However, the performance of consumer-grade cameras for practical applications has not been well documented in related studies. The objective of this research was to apply three(More)
Accurate identification of apples partially occluded by branches and leaves is an urgent and key issue for a picking robot. The objective of this study was to detect the symmetry axes of partially occluded single apples accurately using the convex hull theory and Shape Context algorithm. Firstly, apple regions were obtained by using K-means clustering(More)
Eating behaviors are closely related to body weight, and eating traits are depicted in three dimensions: dietary restraint, disinhibition, and hunger. The current study aims to explore whether these aspects of eating behaviors are related to intrinsic brain activation, and to further investigate the relationship between the brain activation relating to(More)
As we all know that image saliency estimation is an important technique in many computer vision applications. We study bottom-up saliency estimation method based on sparse representation and structural redundancy reduction. Firstly, we learn a set of basis functions using independent component analysis on a large set of natural images and obtain image(More)
To obtain a saliency map close to the saliency object as much as possible, an improved bottom-up visual attention model is presented. Firstly, early visual features such as intensity, color and orientation are extracted from an input image at multiple scales; Secondly, three conspicuity maps are created respectively according to early features; Thirdly,(More)
To recognize protuberant characters on the labels, a novel recognition method based on gray image using wavelet packet transform (WPT) and improved Singular Value Decomposition (SVD) is suggested. The images are decomposed by WPT, and then the singular values (SVs) feature and projection feature of approximation images obtained through the above process are(More)
To separate the text embedded in colored and/or complex backgrounds, a novel segmentation algorithm to separate the text from the image in a complicated document in which the text overlaps the background was presented, and this work could be seen as a new view to realize the multi-thresholding segmentation method. In the first step, the curve fitting using(More)
In the process of the recognition of metal label characters, the characters often have broken gaps, which bring troubles to the next process. In this paper, a novel method is developed which is based on the characters structural features and the previous statistic information, and this method bridges the gap effectively. As the experiments show, using this(More)
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