I want to apply segmentation by first identifying one whole line from the image then identifying words and letters from it.
For open source applications I would recommend scikit image:
http://scikit-image.org/
And imageJ or Fiji (imageJ w/ extra packages standard}
http://imagej.nih.gov/ij/
If the letters that you are are known, then maybe template matching.
Otherwise active contours or active appearance models
Detection of Discontinuities
¾ Point Detection
¾ Line Detection
¾ Edge Detection
3. Edge Linking and Boundary Detection
¾ Local Processing
¾ Global Processing via Hough
Transform
¾ Global Processing via GraphTheoretic Techniques
4. Thresholding
¾ Foundation
¾ The Role of Illumination
¾ Basic Global Thresholding
¾ Basic Adaptive Threshloding
¾ Optimal Global and Adaptive
Thresholding
¾ Use of Boundary Characteristics
for Histogram Improvement and
Local Thresholding
¾ Thresholds Based on Several
Variables
5. Region-Based Segmentation
¾ Basic Formulation
¾ Region Growing
¾ Region Splitting and Merging
6. Segmentation by Morphological
Watershed
More recent methods focus on hybrid / combination of algorithm or optimization of the existing edge/ region/ contours based methods
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