近距离红外目标方位探测研究+文献综述
关键字：红外图像，形态学滤波，阈值分割，方位探测 Abstract
With the continuous development of science and technology and the
needs of modern warfare, as well as infrared search and track system (IRST)
has many advantages, infrared search and track system has become
mainstream in today's world of precision-guided technology development
and research directions.
The main problems in the infrared search and tracking system include:
the massive amount of data processing and system requirements for
real-time processing of contradictions; system false alarm rate
processing time of an exponential trend rise, likely to cause system
congestion problems; low signal to noise how to effectively detected the
target. Based on the basic characteristics of the infrared images,
information processing method of the status of research and development
for these major issues and the practical application of engineering the
basic requirements in the infrared image pre-processing, point target
detection and tracking information processing system design, the system's
in-depth theoretical studies and computer simulation, presented a fast
and practical algorithm to solve the contradiction between the
large-scale deal with the amount of data and real-time processing; system
processing time when false alarm rate will not dramatically increase,
making in high false alarm rate in real-time applications, and offers some
new and effective methods to solve practical engineering problems.
The main task is to close moving target orientation detection, the
main contents are: First, the image pre-processing. Infrared image
acquisition to image filtering, gray transform, image enhancement
algorithms to reduce image noise and clutter, to improve the image SNR,
highlight the target, and suppress the background, follow-up preparation.
Second, through analysis of commonly used image pre-processing methods
include spatial filtering and frequency domain filtering method compared
with the actual situation Algorithm selected based on morphological