Volume -I , Issue -V, June 2014

THE REVIEW PAPER ON “BI-LEVEL IMAGE PROCESSING

Chealsha , Neetikan

Image processing is a rapidly growing area of computer science. Image processing is defined as analyzing and manipulating images with a computer. The goal of thesis is to improve the quality of degrade images using global thresholding. There are four algorithm and different algorithms gives different results on different type images. The research in image recognition usually includes two stages, “low-level” and “high-level”.

Bi-level , Review Paper , analyzing , global thresholding.

1. Jun Zhang and Jinglu Hu (2008) “Image Segmentation Based on 2D Otsu Method with Histogram Analysis” 2008 international conference on computer science and software engineering pp. 105-106.
2. Ahmed rekik, Mourad Zribi, Ahmed Ben Hamida and Mohammed Benjelloun1 (2007) “Review of satellite image segmentation for an optimal fusion system based on edge and region approaches” presented at international journal of computer science and network security, vol.7 No.10, October 2007.
3. M. Sezgin and B. Sankur (2004) “Survey over Image Thresholding Techniques and Quantitative Performance Evaluation”, Journal of Electronic Imaging, Vol. 13, pp. 146-165, 2004.
4. R. Gonzalez and R. Woods (1992) “Digital Image Processing” Addison-Wesley Publishing Company, Chap. 10 (1992).
5. D.S. Bright and R. B. Marinenko (1992), "Concentration histogram imaging: a quantitative view of related images", Microscopy: The Key Research Tool 22(1): 21-28 (March 1992).
6. Antii Niemisto “A Comparison of histogram based thresholding algorithm” presentation for 8002202 digital image processing on 27th October.
7. Xiaoyi Jiang et.al “Distance measures for image segmentation evaluation”EURASIP Journal on Applied Signal Processing Volume 2006, Pages: 209 - 209.
8. Gonzalez, R.C. (1977), “Digital image processing” Reading Massachusetts: Addison Wesley.
9. Chang-Chin Huang; Du-Shiau Tsai; Gwoboa Horng (2003) “Efficient Vector Quantization Codebook Generation Based on Histogram Thresholding Algorithm” International Conference on Volume, Issue, 15-17 Page(s): 1141 – 1145.