METHOD FOR COMPRESSING IMAGES BY SELF-ORGANIZATION OF A NEURONAL NETWORK
    2.
    发明申请
    METHOD FOR COMPRESSING IMAGES BY SELF-ORGANIZATION OF A NEURONAL NETWORK 审中-公开
    通过自组织神经网络压缩图像的方法

    公开(公告)号:WO1991008546A1

    公开(公告)日:1991-06-13

    申请号:PCT/FR1990000888

    申请日:1990-12-06

    Inventor: THOMSON-CSF

    CPC classification number: G06K9/6251 G06T9/002 H04N19/00

    Abstract: The image compression method consists in processing a current frame of pixels displaced in the image to be compressed by using a network of N neurons, 1 through N, arranged in a same plane, each neuron having a number of inputs equal to the size of frames extracted from the image and such that, after an apprenticeship phase during which the network has organized itself, and in order that the neurons represent the most probable input values, each neuron receives, at the same time, to its inputs the pixels of the current frame and outputs a signal, or potential, dj, which is positive and is all the weacker as the status of the corresponding neuron j is close to the status of the inputs ei; coding the current frame of pixels by a code associated with the neuron j of which the potential dj is minimum. The invention applies particularly to the compression of television images.

    METHOD AND DEVICE FOR THE AUTOMATIC SEGMENTATION OF IMAGES BY TEXTURE ANALYSIS
    3.
    发明申请
    METHOD AND DEVICE FOR THE AUTOMATIC SEGMENTATION OF IMAGES BY TEXTURE ANALYSIS 审中-公开
    通过纹理分析自动分割图像的方法和装置

    公开(公告)号:WO1991005313A1

    公开(公告)日:1991-04-18

    申请号:PCT/FR1990000698

    申请日:1990-09-28

    Inventor: THOMSON-CSF

    CPC classification number: G06T7/41 G06T2207/20008 G06T2207/20081

    Abstract: The device for the automatic segmentation of images according to the invention is comprised of a data processor associated with a network of automatons organized in three levels; the inputs of each of the automatons are weighted by adjustable coefficients; the number of automatons of the first level is equal to the number of characteristic values calculated from observation windows taken first from an assembly of examples of image areas having different textures: their apprenticeship by the network allows to adjust the weighting coefficients of the network automatons till all examples of one same texture lead to a same configuration, characteristic of said texture, at the network output. The image segmentation comprises, from the assemblies of characteristic values calculated on image areas to be analyzed, the analysis of the network output in order to deduce the area texture. Application to the segmentation of aerial images or medical images, for example, and more generally to any type of images wherein the regions are discriminatable by their texture.

    Abstract translation: 根据本发明的用于图像自动分割的装置包括与组织在三个级别的自动机网络相关联的数据处理器; 每个自动机的输入由可调系数加权; 第一级自动机的数量等于从具有不同纹理的图像区域的示例的组装首先获得的观察窗口计算的特征值的数量:它们的网络学徒允许调整网络自动机的加权系数直到 一个相同纹理的所有示例在网络输出处导致相同的配置,所述纹理的特征。 图像分割包括从要分析的图像区域上计算的特征值的组合,分析网络输出以推导出区域纹理。 例如,应用于空间图像或医学图像的分割,并且更一般地,应用于其区域可被其纹理区分的任何类型的图像。

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