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Bloomed jasmine flowers are highly used in herb based medical and perfume industry which rely on large jasmine farms. A large quantity of jasmine flowers in such farms need high human labours for flower counting. To decide the labour requirement on a day, flower counting is essential which is a more challenging task. Segmentation plays vital role in flower counting to detect flower regions. A superpixel...
Image pattern recognition is an important area in digital image processing. An efficient pattern recognition algorithm should be able to provide correct recognition at a reduced computational time. Off late amongst the machine learning pattern recognition algorithms, Artificial fish swarm algorithm is one of the swarm intelligence optimization algorithms that works based on population and stochastic...
Since 20th century generation, image segmentation has been attached great importance by the people and thousands of the segmentation algorithms have been proposed. In practice, in order to facilitate research and analysis of the images that often only needs to be interested in certain parts of the image part is divided into a certain properties of a particular area, in order to use the target further,...
Image segmentation algorithm is to divide the images into several regions with specific and unique characteristics, and is an important technology to extract the interested target. Image segmentation is the key step to realize the research from general image processing into image analysis, and is vital preprocessing method of image recognition and computer vision. We cannot obtain correct recognition...
Image segmentation is one of the basic problems in the field of image processing, and this topic is not only a key technology among automatic target identification technologies, but also the basis of target feature extraction, tracking and image recognition. During the process of image segmentation, we will meet several problems, and we always make mistakes because of uneven illumination, influence...
Image segmentation is an integral part of critical image processing applications. Segmentation involves removal of a region of interest from the background. Recent researches in segmentation incorporate clustering algorithms for separation or removal of regions of interest. Prominent segmentation algorithms include K — means which segment the region from the background and further median filtering...
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