A Water-Area Recognition Approach Based on “Tuned” Texture Mask and Cuckoo Search Algorithm

Texture feature extraction is a key topic in many applications of image analysis; a lot of techniques have been proposed to measure the characteristics of this field. Among them, texture energy extracted with a mask is a rotation and scale invariant texture descriptor. However, the tuning process is computationally intensive and easily trap into the local optimum. In the proposed approach, a “Tuned” mask is utilized to extract water and nonwater texture; the optimal “Tuned” mask is acquired by maximizing the texture energy value via a newly proposed cuckoo search (CS) algorithm. Experimental results on samples and images show that the proposed method is suitable for texture feature extraction, the recognition accuracy is higher than the genetic algorithm (GA), particle swarm optimization (PSO) and the gravitational search algorithm (GSA) optimized “Tuned” mask scheme, and the water area could be well recognized from the original image. Experimental results show that the proposed method could exhibit better performance than other methods involved in the paper in terms of optimization ability and recognition result

New Indolocarbazoles from a Mutant Strain of the Marine-Derived Actinomycete <i>Streptomyces fradiae</i> 007M135

Fradcarbazoles A–C (<b>1</b>–<b>3</b>), three new indolocarbazoles, were isolated from a mutant strain of the marine-derived actinomycete <i>Streptomyces fradiae</i> 007M135. Their structures were established by spectroscopic analysis, quantum chemical calculation, CD spectra, and chemical transformation. Fradcarbazole A (<b>1</b>) possessed a unique skeleton consisting of a staurosporine core, a thiazole ring, and an indole fragment. Compounds <b>1</b>–<b>3</b> displayed significant cytotoxicity against HL-60, K562, A-549, and BEL-7402 cell lines and inhibitory effects on the kinase PKC-α with IC₅₀ values of 0.001–4.58 μM