Question

有关数字图像处理的英文翻译

老师让做的毕业设计里的英文翻译，不太会...............
Anovel edge detection method based on the maximizing objective function
Chung-Chia Kanga,Wen-JuneWanga,b,∗
aDepartment of Electrical Engineering, National Central University, Jhong-Li 320, Taiwan
bDepartment of Electrical Engineering, National Chi Nan University, Puli 545, Taiwan
Received 21 October 2005; accepted 27 April 2006
Abstract
This paper proposes a novel edge detection method for both gray level images and color images. The 3 × 3 mask in the image is
considered and two pixel sets S0 and S1 in the mask are used to define an objective function. The values of the objective function
corresponding to four directions determine the edge intensity and edge direction of each pixel in the mask. After all pixels in the image
have been processed, the edge map and direction map are generated. Then we apply the non-maxima suppression method to the edge map
and the direction map to extract the edge points. The proposed method can detect the edge successfully, while double edges, thick edges,
and speckles can be avoided.

2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keywords: Edge detection; Color edge detection; Objective function; Interset distance; Intraset distance; Non-maxima suppression
1. Introduction
In common applications of machine vision and pattern
recognition, discriminating the objects from their background
is one of the important tasks. In order to extract
the contour of an object in an image, we must detect the
complete information of the edges, so edge detection is an
indispensable part of image processing. An important property
of the edge detection method is its ability to extract the
accurate edge line with good orientation in the considered
image, and much literature on edge detection has been published
in the past two decades. However, there is not yet any
general performance index to judge the performance of the
edge detection methods. The performance of an edge detection
method is always judged subjectively because different
users have different requirements for the same image. But
in general, it is agreed that for a good edge detection, the
edge line should be thin and with few speckles.
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上周五，我已经帮你翻译了，由于我把完整译文和逐句翻译都提交上去了，内容较多，说是正在提交中，一直让我耐心等待。我想重发，不让，说我已提交。要不，把你的邮箱发过来，我发到你的邮箱里。

Answer 3

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