http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Design of a finite impulse response filter for the purpose of directional edge detection via spatial domain convolution
associated with this filter. Directionality was incorporated
bandpass filter was defined in the frequency domain. Its
be achieved exclusively in one domain, and (2) it can be
Chapters 11 and IV discuss the theory and parameters
characteristics were transferred to the weights of the
convolution filter capable of directional edge detection
criteria and parameters associated with this window. Once the
defining parameters were assigned based on image data.
dimensional window to truncate the bandpass filter's
direction to be detected. Chapters 11 and IV discuss the
directional filter in the frequency domain was designed, its
directional filter in the frequency domain. In other words,
distinct frequency domain filter. The importance of a spatial
domain filter is manifested by two facts: (1) Filtering can
edge detection process developed, defined, and discussed in
edge map was produced. The most prominent result of this
edge map with no gaps in its contiguous edge segments.
efficiently implemented. Filtering in the frequency domain
filter in the spatial domain that is the dual of a specific
filtered with a frequency domain filter; subsequently, this
frequency response. This allowed edges in any arbitary
image in the spatial domain. The filtering process of this
into the frequency domain filter by creating a special two-
presented in Chapter 111. Finally, the image was convolved
requires an image be transformed to the frequency domain,
research is briefly summarized by the following steps: ³A
research is demonstrated by the fact that the directional
result is inverse-Fourier-transformed to realize a filtered
spatial domain filter. A detailed outline of this process is
the frequency domain. Nobody has designed a directional
The purpose of this research was to design a spatial domain
the weights of the spatial domain filter are derived from a
this thesis was applied to a digital test image to produce an
via the Fourier transform. Then the transformed image is
which has a specific relationship to a pre-defined filter in
with the spatial domain filter, and after postprocessing, an
"Major subject: Electrical Engineering".