数字图像处理(双语)期中考试试卷答案

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考试试卷(答案)

试卷编号: ( )卷课程编号:课程名称:数字图像处理(双语)考试形式:适用班级:姓名:学号:班级:

学院:信息工程学院专业:电子系各专业考试日期:

一二三四五六七八九十总

累分人签名

题分

2

2

2

2

2

000001

00

考生注意事项:1、本试卷共5页,请查看试卷中是否有缺页或破损。如有立即举手报告以便更换。

2、考试结束后,考生不得将试卷、答题纸和草稿纸带出考场。

一、基础知识填空题(1,2为单项选择,每空3分,3,4为多项选择,每

空2分,共20分),

1 1、When you enter a dark room on a bright day, it takes some time to see well enough, this is the visual process or visual phenomenon of

A. (Brightness adaptation.)

B. (Brightness discrimination.)

C. (Optical illusion.)

D. (Simultaneous contrast.)

2、The visible spectrum consists of electromagnetic spectrum

nearly in the range of wavelength:

A. (10 – 400 nm)

B. (0.01 – 10 nm)

C. (400 –700 nm)

D. (700 –1500

nm)

3、For V = {1}, the subsets S1 and S2

are

A. (m-connected)

B. (8-connected )

C. (4-connected)

D. (None of these 3)

4、Two pixels p and q are at the locations shown in the figure,

their Euclidean, city-block and chessboard distances are

(20分)

Exponential of the form s = T(r) = 2552r

-, 0 ≤ r ≤ 255, with α being a positive constant, are useful for constructing smooth gray-level transformation functions. (1) Start with this basic function and construct transformation functions having the shapes shown in the above figures. (15分) (2) What kind of transformation does the function of (a) approximately complete for an input of a gray intensity image? (5分)

(1)

(a)

so .

(b)

阅人2

55

2

55

2

55

(

((

(20分)

The White bars in the test pattern shown are 7 pixels wide and

210 pixels high. The separator between bars is 17 pixels. What would this image look like after application of 1. A 3×3 median filter? 2. A 7×7 median filter? 3. A 9×9 median filter?

4. A 15×15 median filter?

( Note: in your answer, quantitative analysis is expected. )

Answer:

The separator between bars is 17 pixels

wide > 15, so none of the 4 filters can remove

any black pixels. We can treat all black

pixels as background.

1. Applying a 3×3 median filter

removes the 1 pixel at the top left, top

right, bottom left and bottom right locations of each bar, as shown in (a), which is an amplified corner of the filtered image.

2. Applying a 7×7 median filter remove 6 pixels

located at the top left, the top right, the bottom left,

the bottom right of each bar, as shown in (b),which

is an amplified corner of the median filtered image.

0111110 0001000 3×3 1111111 7×7 01111110

1111111 01111110

3. Applying a 9×9 median filter remove

10 pixels

located at the top left, the top right, the

bottom left,

the bottom right of each bar, as shown in (c). which is

an amplified corner of the median filtered

image

0000000

9×9 0011100

0111110

得分 评阅人 (a) (

b)

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