Edge feature detection method of multi-spectral image
A multi-spectral image and edge feature technology, applied in the field of image processing, can solve the problems of large uncertainty of edge detection results, lack of physical basis for dimension reduction processing, etc., and achieve the effect of reasonable and efficient gradient information
Inactive Publication Date: 2011-08-24
NANJING UNIV
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Such dimension reduction processing lacks a physical basis, and because the boundaries of objects on multispectral images are not consistent in different bands, it will inevitably lead to greater uncertainty in the edge detection results.
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[0020] The basic idea of the present invention is: if the multispectral data of each pixel is regarded as a vector, then the multispectral image can be regarded as a two-dimensional, multi-attribute vector field, so that the detection problem of the ground object boundary is transformed into a multidimensional The neighborhood difference problem of a curved surface can be solved using the first basic form in differential geometry.
[0021] Let I(x,y):R 2 →R N Represents a multispectral image with N bands, any of which can be expressed as I i (x, y): R 2 → R, i=1, . . . , N. Then the image I is at any point (x 0 ,y 0 ) can be viewed as R N A vector of space, so any two adjacent points on the image P=(x 0 ,y 0 ) and Q=(x 1 ,y 1 ) can be expressed as:
[0022] ΔI=I(P)-I(Q)
[0023] When the distance d(P, Q) between two points P and Q tends to be infinitely small, it can be expressed in differential form:
[0024] dI = ∂ ...
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The invention discloses an edge feature detection method of a multi-spectral image, which comprises the following steps: using a first-order differential operator to respectively compute the gradients of N wave bands of the multi-spectral image in horizontal and vertical directions; adding the square of gradients in the horizontal and vertical directions one phase element by one phase element to obtain the feature elements in the horizontal and vertical directions; adding the multiplication of the gradients in the horizontal and vertical directions to obtain the feature element in two directions and to form a feature matrix; and computing a feature value of the feature matrix one phase element by one phase element, and computing a gradient value of the image to obtain the edge feature of the multi-spectral image. The gradient information at each wave band is used for obtaining the edge feature of the multi-spectral image in an intuitive and rapid manner. While detecting, all wave bands can be selected to compute the edge feature, or a plurality of optimum wave bands can be selected according to the application requirement to compute the edge feature; and the method which directly uses the multi-spectral information to detect the edge feature is more rational and efficient in comparison with a method which uses an algebraic operation to synthesize the gradient information of a plurality of wave bands.
Description
technical field [0001] The invention relates to an image processing method, in particular to a multispectral image edge feature detection method. Background technique [0002] The edge of the image concentrates most of the information of the image. The detection of edge features is one of the core contents of digital image processing, and its detection accuracy directly affects the effect of subsequent image recognition and understanding. Images can be roughly divided into three categories: grayscale images, color images, and multispectral images. [0003] At present, the grayscale image edge feature detection method mainly relies on the first-order or second-order differential operation of the image. The former obtains the gradient feature of the image according to the first-order differential operation in the horizontal, vertical or cross directions, such as Roberts operator, Prewitt operator, Sobel operator, etc.; the latter determines the position of the edge according ...
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IPC IPC(8): G06T5/00
Inventor 肖鹏峰冯学智李晖
Owner NANJING UNIV