1. Small target detection combining regional stability
and saliency in a color image
Source: Multimedia Tools and Applications, vol. 76, no. 13, pp , Jul
Authors: Jing Lou, Wei Zhu, Huan Wang, and Mingwu Ren
Speaker: Yu-Wei Nien
Date: 5/10/2018

2. Outline Introduction Related works Proposed method
Experimental results
Conclusions

3. Introduction (a) Original image (b) Result (c) GT (Ground true)
(d) Warning system

4. Related works – MSER-stability (1/3)
200 60 68 78
149 56 32
124
TH= [33 ,199]
(a) Original image
(b) TH = 33
(c) TH = 80
(d) TH = 199

5. Related works – MSER-stability (2/3)
(a) Original image
(b) Gray image
(c) Binary image

6. Related works – MSER-stability (3/3)
(a) Original image
(b) GT
(c) MSER
(d) Ours
[18] J. Matas, O. chum, M. Urban,and T. Pajdla,
“Robust wide-baseline stereo from maximally stable extremal regions,”
Image and Vision Computing, vol. 22, no. 10, pp , Sep. 2004

7. Proposed method – Flowchart (1/10)
ρ = 16

8. Proposed method – Regional Stability (RSt) (2/10)
Clustering regions
(2.5, 1.5)
(4.5, 4.5) A
(5, 5) B
𝐁 24
𝐁 𝟒0
TH= 24
TH= 40

9. Proposed method – Regional Stability (RSt) (3/10)
(a) Binary image
TH= 24
TH= 40

10. Proposed method – Regional Stability (RSt) (4/10)
(b) Sub-image Gr
(a) Gray image
(d)
𝑀 𝑇
(c) Binary image

11. Proposed method – Regional Stability (RSt) (5/10)
(c)

12. Proposed method – Regional Saliency (RSa) (6/10)
RGB color space -> L*a*b* color space
L*= [0, 100]
a*= [-128, 127]
b*= [-128, 127]
Gaussian blurred 64 32 80
1/16
2/16
4/16 4 5
=34

13. Proposed method – Regional Saliency (RSa) (7/10)
(a) Original image 9 6 4 15 7 5 61 3 8 11 44 35 77 17 32 86 83 81 82 72 62 15 68 73 85 66 32 84 42 60 45 77 76
(b) channel 𝐿
(c) channel
𝐿 𝑤
(d)
𝑀 𝐴

14. Proposed method – Regional Saliency (RSa) (8/10)
(a) Original image
(b) Regional saliency image

15. Proposed method – Combine (9/10)1
0.3
0.8 1
0.8 1
𝑀 𝑇
(a)
𝑀 𝐴
(b)
(c) Result 𝑀

16. Proposed method – Combine (10/10)
0.9
0.3
𝑀 𝑇
(a)
(c) 𝑀
(d) Result
𝑀 𝐴
(b)

17. Experimental results (1/6)
(a) Original image
(b) GT
(c) Result

18. Experimental results (2/6)

19. Experimental results (3/6)

20. Experimental results (4/6)
(a) Original image
(b) GT
(c) AC
(d) MSS
(e) FT
(f) COV
(g) HFT
(h) GR
(i) SUN
(j) RBD
(e) SR
(e) RSa

21. Experimental results (5/6)

22. Experimental results (6/6)
(a) Original image
(b) GT
(b) Result

23. Conclusions
Combining regional stability and saliency
Enhance accurate

24. Thanks for Listening