| dc.description.abstract | Edge detection methods will detect all edges or lines that form a picture or image object and
will clarify the return on these parts. The purpose detection is how to keep the object in the
image can be recognized and simplified form of the previous shape. Edge has an excellent
contrast intensity values compared to adjacent pixels (neighborhood). Edge detection can be a
filter to eliminate information that is not needed, or more commonly referred to as noise or
noise. With edge detection, the structure of the property or object in the image is maintained.
Designing a procedure by applying the method steps Sobel Operator, Operator and Prewitt
Operator Robert, will produce a different image display showing relief or adverse effects
Sobel therein. Relief effect is like a rough stone-carved look, the rough lines that form an
object representation therein.
In doing edge detection using 3 Operator will produce a different image edges. But still lacks
in edge detection on the image, which still exist in the detection of a broken edge in the
image, making it difficult to distinguish parts of the image. The advantage of this method is
the ability Sobel to reduce noise prior to the calculation of edge detection so that the edges
produced more, Operator Robert was able to perform the gradient computation in 2-D image
with a more simple and quick and is actually similar to the Prewitt Operator for Sobel
operator used is 3x3. | en_US |
