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Noise and non-uniform gray level in underwater image cause the low segment precision, this paper presents a segmentation framework based on morphological component analysis (MCA) and fuzzy clustering with variational level set. The framework uses MCA method to sparse decompose the image into texture and cartoon parts. The cartoon part contains the mainly information with less noise, which is good...
Underwater image contains a lot of noise and non uniform gray levels. That characteristic causes the image has a low segmentation precision. A segmentation method based on morphological component analysis (MCA) and adaptive level set evolution is proposed in this paper to enhance the precision. MCA method is used to sparse decompose the image into texture and cartoon parts. The cartoon part contains...
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