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Prakash, Neelam R.
- Dimensional Analysis and Segmentation of Touching Rice Grains
Authors
1 (E & EC Department), Punjab Engineering College University of Technology, Chandigarh, IN
2 Punjab Engineering College University of Technology, Chandigarh, IN
Source
Digital Image Processing, Vol 2, No 7 (2010), Pagination: 189-193Abstract
This paper presents a novel image processing algorithm that has been developed and tested for the accurate segmentation of contacting rice grains in digital images. This algorithm uses general shape properties for initial decision making, then use Erosion and dilation technique for segmented the contacting grains at the point of contact. This approach offers a autious, decisive and reliable segmentation between small sets of contacting rice grains. The algorithm has been applied to test images with success in all cases. Results for contacting rice grains are compared with shape descriptors for non-touching grains. It is found that the impact of segmentation on the shape of target grains is negligible. This algorithm is of benefit for intelligent grain analysis.
Keywords
Dilation, Erosion, Image Processing, Segmentation.- Automatic Segmentation of Touching Rice Grains Using Image Processing
Authors
1 Department of ECE, Punjab Engineering College, University of Technology, Chandigarh, IN
Source
Digital Image Processing, Vol 2, No 7 (2010), Pagination: 203-206Abstract
In the process of intellectualized visional testing products, valid image information is often collected to analysis for objective parameters such as quantity, size, and shape and so on. Because there is phenomenon of touch, the objects needs to be segmented accurately. This paper presents a novel image processing algorithm that has been developed and tested for the accurate segmentation of touching rice grains in digital images. This algorithm uses general shape properties for initial decision making, then use Erosion and dilation technique for segmented the touching grains at the point of contact. This approach offers a cautious, decisive and reliable segmentation between small sets of touching rice grains. The result of the experiments shows that touching objects can be segmented with the accuracy near 100% with this method, that the shape of the object is not to be changed, which can meet the demand of analysis of object characteristics in intellectualized visional testing process, and that it has a practical value.