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Precise fundus image features detection is an important factor for screening diabetic retinopathy. Some noises in fundus image features extraction need to be solved. This paper studies using phase information to attempt get better effect. We use and compare four phase-based approaches and get some instructive results.
For License Plate Recognition (LPR) system, license plate character recognition rate is seriously affected by image quality. To resolve this problem, a new algorithm is proposed, in which Intersecting Cortical Model (ICM) is applied into license plate character recognition. ICM was derived from several visual cortex models, which can be applied to image feature extraction efficiently. In the new algorithm...
Interesting target detection algorithm in complex natural backgrounds images is studied in this paper. Firstly, logGabor filter bank is analyzed, which is consistent with human visual system characteristics. Several kinds of local features from the filter bank can form the integrated feature. Integrated feature congruency (IFC) model is established. And upon compensating noise for IFC, an improved...
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