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Original Articles

DETECTION OF FISSURES IN RICE GRAINS USING IMAGING ENHANCEMENT

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Pages 205-215 | Received 08 Dec 2000, Accepted 18 Apr 2001, Published online: 06 Feb 2007

Figures & data

Figure 1. Gray level histogram of medium grain rice: (a) original image; and (b) after gamma correction and histogram equalization.

Figure 1. Gray level histogram of medium grain rice: (a) original image; and (b) after gamma correction and histogram equalization.

Figure 2. Gray level histogram of long grain rice: (a) original image; and (b) after gamma correction.

Figure 2. Gray level histogram of long grain rice: (a) original image; and (b) after gamma correction.

Figure 3. Image representing the classification of stress fissures in medium grain rice images: (a) raw images; (b) image after gamma correction; (c) image after histogram equalization; (d) image after erosion; (e) image after regional enhancement; and (f) image after edge detection.

Figure 3. Image representing the classification of stress fissures in medium grain rice images: (a) raw images; (b) image after gamma correction; (c) image after histogram equalization; (d) image after erosion; (e) image after regional enhancement; and (f) image after edge detection.

Figure 4. Image representing the classification of stress fissures in long grain rice images: (a) raw image; (b) image after gamma correction; (c) image after high pass filtering; (d) image after contrast adjustment; and (e) image after regional filtering.

Figure 4. Image representing the classification of stress fissures in long grain rice images: (a) raw image; (b) image after gamma correction; (c) image after high pass filtering; (d) image after contrast adjustment; and (e) image after regional filtering.

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