Multi-area detection sensitivity calculation model and detection blind areas influence analysis of photoelectric detection target

An Infrared Target Images Recognition and Processing Method Based on the Fuzzy Comprehensive Evaluation

“…After segmenting the sequence images captured by the vehicle mounted infrared thermal imager, it is necessary to distinguish between the real target and other interfering objects. The segmented image containing only the real target is employed as the template image, and the confidence of the suspected target part in the sequence infrared target image and the template image is compared in a one-to-one manner, including the proportion area feature, perimeter feature, eccentricity feature, complex moment feature, and target mean contrast feature, obtain the similarity between the target image and the template image in each image, and its value represents a function of the target features to determine which category the target falls into [38]. Based on the extracted target features, the fuzzy comprehensive evaluation method is adopted to represent the extracted features as the membership parameters of the target.…”