Publish in OALib Journal
APC: Only $99
This paper represents a template
matching using statistical model and parametric template for multi-template.
This algorithm consists of two phases: training and matching phases. In the
training phase, the statistical model created by principal component analysis
method (PCA) can be used to synthesize multi-template. The advantage of PCA is to
reduce the variances of multi-template. In the matching phase, the normalized
cross correlation (NCC) is employed to find the candidates in inspection
images. The relationship between image block and multi-template is built to use
parametric template method. Results show that the proposed method is more
efficient than the conventional template matching and parametric template.
Furthermore, the proposed method is more robust than conventional template method.
explants of young nodals and leaves of Plumbago
auriculata, we studied multiple shoots induction and plant regeneration in
the medium with different PGR proportions. The results showed the nodals of Plumbago auriculata could be used as the
explant to induce multiple shoots. After culturing young nodals for 30 d,
optimum single shoot formation was achieved on MS medium supplemented with 0.3 mg/L
6-BA and the induction rate was 70.79%. After being transferred to the medium
containing 1.0 mg/L 6-BA, 1.0 mg/L NAA and 0.2 mg/L IAA for 1 - 2 generation,
single shoot was induced to form multiple shoots with the multiplication
rate was 506.45%. After multiple shoots grew to 3
cm high, the multiple shoots were cut into single shoots and
transferred onto half-strength MS medium supplemented with 0.5 mg/L NAA and the
rooted rate was 94.33%. Finally the intact plants were obtained.