Digital Image Processing

Neighboring OPERATIONS / PERSEKITARAN (Neighborhood Operation)
An image of the ideal, if capable of reflecting the actual condition of an object.
Having a one-one relationship (one to one), one point on the object is mapped exactly one pixel in a digital image.
But in reality, the relationship that exists between the point in the object with a point on the digital image is one to many relationship (one to many) and many to one (many-to-one).
• This is because:
signals sent by the object image is spreading (divergence), so received by the sensor or detector no longer be a point, but the form of an area.
Or conversely one point on the sensor or detector can receive many signals from several parts.
Operation of digital image associated with the above mentioned operating conditions persekitaran / neighbors (neighborhood operation).
Operation persekitaran / neighbor is basically the relationship between the image with a filter (mask / kernel)
The value of the filter / mask is the weight contribution to the operation persekitaran persekitaran point.
Several image processing associated with this operation are:

1. Edge Detection (Edge Detection)
2. Image Refinement (Smoothing)
3. Image sharpening (Sharping)
4. Noise Reduction
5. Emboss Effect

Edge detection (Edge Detection)
This operation is used to determine the location of the points that represents the edge of the object image.

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