以图像处理技术理论为前提,使用M atlab中的D IP(D igta l Im age P rocess)工具箱和GU I(G raphU ser In terface)工具,对鱼体回声图像进行处理,匹配专家数据库,成功实现了对单体鱼的识别.介绍了对单体鱼的识别方法,详细阐述了鱼体回...以图像处理技术理论为前提,使用M atlab中的D IP(D igta l Im age P rocess)工具箱和GU I(G raphU ser In terface)工具,对鱼体回声图像进行处理,匹配专家数据库,成功实现了对单体鱼的识别.介绍了对单体鱼的识别方法,详细阐述了鱼体回声图像的预处理方法、单体鱼的体态及长度参数的提取方法、通过建立专家数据库来实现目标识别的方法.引入了自适应图像窗的概念,提出了对鱼群的识别算法.展开更多
One of the advantages of laser speckle is detecting microvascular through image processing. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser s...One of the advantages of laser speckle is detecting microvascular through image processing. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser speckle images in the space. Disadvantage of conventional fixed window method is that it uses the same window size regardless of target areas. Inherently laser speckle contains undesired noise. Thus a large window is helpful for removing the noise, but it results in low resolution of image. Otherwise a small window may detect micro vascular but it has limits in noise removal. To overcome this trade-off, the concept of adaptive window method is newly introduced to conventional laser speckle image analysis. In addition, the modified adaptive window method applied to other selection images. We have compared conventional Laser Speckle Contrast Analysis （LASCA） and its variants with the proposed method in terms of image quality and processing complexity, Moreover compared the result of the accompamed changing sdection images have also been compared.展开更多
文摘以图像处理技术理论为前提,使用M atlab中的D IP(D igta l Im age P rocess)工具箱和GU I(G raphU ser In terface)工具,对鱼体回声图像进行处理,匹配专家数据库,成功实现了对单体鱼的识别.介绍了对单体鱼的识别方法,详细阐述了鱼体回声图像的预处理方法、单体鱼的体态及长度参数的提取方法、通过建立专家数据库来实现目标识别的方法.引入了自适应图像窗的概念,提出了对鱼群的识别算法.
基金supported by the SEOUL R&BD NT070079,Korea,the ITRC(Information Technology Research Center)support program supervised by the ⅡTA(Institute for Information Technology Advancement)
文摘One of the advantages of laser speckle is detecting microvascular through image processing. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser speckle images in the space. Disadvantage of conventional fixed window method is that it uses the same window size regardless of target areas. Inherently laser speckle contains undesired noise. Thus a large window is helpful for removing the noise, but it results in low resolution of image. Otherwise a small window may detect micro vascular but it has limits in noise removal. To overcome this trade-off, the concept of adaptive window method is newly introduced to conventional laser speckle image analysis. In addition, the modified adaptive window method applied to other selection images. We have compared conventional Laser Speckle Contrast Analysis （LASCA） and its variants with the proposed method in terms of image quality and processing complexity, Moreover compared the result of the accompamed changing sdection images have also been compared.
