Information given by a single-waveband imaging sensor doesn't satisfy the battlefield's needs. Many excellent
characteristics of biotic vision are gradually applied in the design of intelligent imaging-guided missile. Combined with
the function of lateral inhibition network in vision, a schematic diagram of intelligent infrared imaging-guided guidance
head is proposed. Enlightened by the large field (LF) and small field (SF) of fly, the paralleled implement scheme of
spatial double mode is proposed. A physical model of infrared imaging guidance head is given. The guidance head
simulates the whole imaging progress of fly's ommateum. And its field of view is 360°. Then the synthetical application
flow on imaging guidance referenced fly's vision system is proposed. The exploring study is beneficial and referenced to
the design of intending imaging-guided system.
Method for navigation control of mobile robots under unknown environment is a important field of robotics. As few
transcendental knowledge is known, navigation control of mobile robots has many problem to be solved. In this paper,
we introduce the mechanism of a fly's vision and analyze the possibility of apply to robots navigation control. Then a
navigation method based on compound eyes is given. In the end, we give expectation and advices for future research.
The lateral inhibition mechanism of biologic vision is introduced and applied on edge extraction of images. With the
method, the image's original characters are unchanged. Furthermore, the edge extraction and image enhancement can be
done effectively when the gray changes caused by varying illumination. For increasing the matching ability of resistance
to geometric distortion, a new matching algorithm is established. The edges of the real-time and reference maps are
extracted with the above-mentioned method based on lateral inhibition. Then the concentric circle characteristic vector of
image is defined and the method of vector extraction is proposed. The concentric circle characteristic vectors of the real-time
and reference maps are extracted. Finally they are matched according to the vectors. The resistance of geometric
distortion is improved. A map of roadway in a city obtained by satellite is simulated. The results show that the influence
of gray and geometric distortion on scene matching is effectively overcome. The algorithm is easily implemented with
hardware. The operation speed of the algorithm is also fast. It's worth for the design of real-time scene matching system.
Aiming at the influence of geometrical deformation on image matching, the method based on gray-level difference
between the nearby pixels detecting multi-pixels edge of image is put forward. To a 256 by 256 image, it needs only 0.14
second to detect edge which is 40% and 35% faster respectively than that of the Prewitt and Robert arithmetic. Applying
the method based on multi-pixels edge character to image matching, the influences of edge excursion can be improved
obviously: when excursion exists in single pixel point, the relative probability of image matching is improved to 67%;
when it exits in edge, it is improved to 50%. Research shows that this method is of simple model, high real-time quality
and anti-geometrical-deformation. Most importantly, it is simply conducted.
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