Enhancement of Images using Morphological Transformation

paper deals with enhancement of images with po or contrast and detection of background. Proposes a frame work which is used to detect the background in images characterized by poor contrast. Image enhancement has been carried out by the two methods based on the Weber's law notion. The first method employs information from image background analysis by blocks, while the second transformation method utilizes the opening operation, closing operation, which is employed to define the multi-background gr ay scale images. The complete image processing is done using MATLAB simulation model. Finally, this paper is organized as follows as Morp hological transformation and Weber's law. Image background approximation to the background by means of block analysis in conjunction with transformations that enhance images with poor light ing. The multibackground notion is introduced by means of the opening by reconstruction shows a comp arison among several techniques to improve contrast in images. Finally, conclusions are presen ted.

• Publication year

  2012

• Venue

  arXiv.org

• Publication date

  2012-02-29

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5121/ijcsit.2012.4103arXiv 1203.2514
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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