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    • 1. 发明授权
    • Image segmentation system
    • 图像分割系统
    • US06516097B1
    • 2003-02-04
    • US09354723
    • 1999-07-16
    • Mark D. Pritt
    • Mark D. Pritt
    • G06K944
    • G06T7/12G06T7/181G06T7/194G06T2207/30108
    • In a system for segmenting a pixel based image, pixels containing image boundaries are identified. The image boundaries are then fattened by repeatedly adding fattening rows of pixels to the pixels containing boundaries to separate the remaining pixels into separate segments. The separate segments are then grown back to their original size before the boundaries were fattened. This operation has the effect of linking the boundaries together to separate the image into segments and to extend incomplete boundaries into complete boundaries around segments in the image.
    • 在用于分割基于像素的图像的系统中,识别包含图像边界的像素。 然后,通过反复地向包含边界的像素添加育肥行,将剩余像素分离成单独的片段,从而使图像边界变胖。 然后将分开的部分生长回原来的尺寸,然后再分配边界。 该操作具有将边界连接在一起以将图像分割成段并将不完整边界扩展到图像中的段周围的完整边界的效果。
    • 3. 发明授权
    • Apparatus for converting gray levels of an image, a method thereof, a program storage device thereof, and an infrared camera
    • 用于转换图像的灰度级的装置,其方法,程序存储装置和红外相机
    • US06343158B1
    • 2002-01-29
    • US08889876
    • 1997-07-08
    • Morito Shiohara
    • Morito Shiohara
    • G06K944
    • H04N5/20
    • An apparatus for converting gray levels of an image, a method thereof, a program storage device thereof, and an infrared camera. The object of the present invention is to provide an apparatus for converting gray levels into fewer gray levels without missing a local gradation, a method thereof, a program storage device thereof, and an infrared camera to which the present invention is applied. A positive mask image (C) and a reversed mask image (C′) are obtained the edge detected image (B) which is produced by emphasizing edges of an original image (A). A low frequency component (D) is obtained by performing an edge preserving smoothing operation for A masked with C, and performing a non-edge preserving smoothing operation for A masked with C′. A high frequency component (E) is obtained by calculating of (A-D). After D is compressed to D′ and E is emphasized to E′, an output image (F′) is obtained by adding D′ and E′.
    • 用于转换图像的灰度级的装置,其方法,程序存储装置和红外相机。 本发明的目的是提供一种用于将灰度级转换为较少的灰度而不丢失局部灰度的装置,其方法,程序存储装置以及应用本发明的红外相机。 通过强调原始图像(A)的边缘产生的边缘检测图像(B)获得正面掩模图像(C)和反转掩模图像(C')。 通过对C屏蔽的A执行边缘保持平滑处理,并对C所掩蔽的A进行非边缘保持平滑处理,获得低频分量(D)。 通过计算(A-D)获得高频分量(E)。 D被压缩为D'并且E被强调为E'时,通过添加D'和E'来获得输出图像(F')。
    • 5. 发明授权
    • Boundary mapping for multi-pel thickness lines
    • 多像素厚度线的边界映射
    • US06628840B1
    • 2003-09-30
    • US09571448
    • 2000-05-16
    • Jean Margaret Aschenbrenner
    • Jean Margaret Aschenbrenner
    • G06K944
    • G06T11/203
    • A method for mapping a boundary for a multi-pel thickness line into a bitmap image which describes the pel boundary with respect to an orthogonal pel array. The line has thickness T centered around a spine between a start and stop point. The boundaries for the rounded ends of the line are determined by centering a pre-stored T-diameter pel dot boundary with respect to the start and stop points. The rounded end boundaries are tangentially connected by a first pair of sides of a rectangular perimeter whose remaining two sides diametrically intersect the dot boundaries. The start point, the thickness, and line slope are utilized for estimating and mapping four corner points of the rectangular perimeter with respect to the orthogonal pel array. The vertical orientation of the mapped corner points designate up to five sections of the line boundary including two end sections, one of which lies above an uppermost corner point, and the other below a lowermost corner point. Both end sections are mapped according to the corresponding pel dot boundary as centered at the start and stop points. A middle section has a first straight sliding edged determined according to Bresenham's algorithm and a second straight edge determined by adding the fixed horizontal width of the line to te horizontal position of the first edge. For each of the remaining two sections, one edge is estimated and mapped utilizing Bresenham's algorithm and the other edge is mapped in according to the corresponding
    • 一种用于将多像素厚度线的边界映射到相对于正交像素阵列描述像素边界的位图图像的方法。 该线具有围绕起始点和停止点之间的脊柱的中心的厚度T。 通过将预先存储的T形直径像素点边界相对于起点和停止点居中来确定线的圆端的边界。 圆形端边界通过矩形周边的第一对侧面切向连接,其中两边与点边界直径相交。 起始点,厚度和线斜率用于估计和映射相对于正交像素阵列的矩形周边的四个角点。 映射的角点的垂直方向最多指定五个线边界部分,包括两个端部,其中一个位于最上角点之上,另一个位于最下角点之下。 根据对应的像素点边界将两个端部区域作为起始点和停止点的中心点进行映射。 中间部分具有根据Bresenham算法确定的第一直线滑动边缘,并且通过将线的固定水平宽度加到第一边缘的水平位置确定的第二直边。 对于剩下的两个部分中的每一个,使用Bresenham算法来估计和映射一个边缘,另一个边缘根据相应的
    • 7. 发明授权
    • Method and apparatus for enhancing discrete pixel images
    • 用于增强离散像素图像的方法和装置
    • US06208763B1
    • 2001-03-27
    • US09060017
    • 1998-04-14
    • Gopal B. Avinash
    • Gopal B. Avinash
    • G06K944
    • G06T5/002G06T5/003
    • Pixel data representative of a discrete pixel image is processed to identify structures and non-structures in the image defined by the pixel data. The structures and non-structures are processed in different manners. The structures are identified by computing gradient information on each pixel and by comparing the gradient information to a gradient threshold, and by comparing gradient directions for adjacent pixels to one another. The edges defining the structures are binary rank order filtered. The structures are orientation smoothed and sharpened. The non-structures are homogenization smoothed and original texture is blended back into non-structural regions.
    • 处理表示离散像素图像的像素数据以识别由像素数据定义的图像中的结构和非结构。 结构和非结构以不同的方式进行处理。 通过计算每个像素上的梯度信息并通过将梯度信息与梯度阈值进行比较,并通过将相邻像素的梯度方向相互比较来识别结构。 定义结构的边被二进制排序过滤。 结构是方向平滑和削尖。 非结构物均匀化平滑,原始纹理混合回非结构区域。