the National Natural Science Foundation of China(No.41306086)
Object detection plays an important role in the underwater object recognition technology of sonar equipment. We propose a Novel quantum-inspired shuffled frog leaping algorithm(NQSFLA) to obtain more accurate detectio...
supported by the National Natural Science Foundation of China(41306086);Technology Innovation Talent Special Foundation of Harbin(2014RFQXJ105);the Fundamental Research Funds for the Central Universities(HEUCF100606)
An adaptive narrowband two-phase Chan-Vese (ANBCV) model is proposed for improving the shadow regions detection performance of sonar images. In the first noise smoothing step, the anisotropic second-order neighborho...
Sponsored by the National Natural Science Foundation of China(Grant No.41306086);the Technology Innovation Talent Special Foundation of Harbin(Grant No.2014RFQXJ105);the Fundamental Research Funds for the Central Universities(Grant No.HEUCFR1121,HEUCF100606)
According to the characteristics of sonar image data with manifold feature,the sonar image detection method based on two-phase manifold partner clustering algorithm is proposed. Firstly,K-means block clustering based ...
This work was supported by the National Natural Science Foundation of China (41306086), technology innovation talent special foundation of Harbin (2014RFQXJ105) and Fundamental Research Funds for the Central Universities (No.HEUCFR1121, HEUCF100606).
According to the characteristics of sonar image data with big data feature, In order to accurately detect underwater objects of sonar image, a novel adaptive threshold FCM (Fuzzy Clustering Algorithm, FCM) based on fr...