![]() It provides 100 percent visual coverage and fine spatial detail (compared with dredges, which miss many scallops and bring up a mile’s worth of catch all at once). HabCam won’t replace dredging altogether, Hart said, because biologists still need to make some actual measurements. That program uses advanced pattern recognition software developed with help from WHOI biometrician Sanjay Tiwari. ![]() After segmentation, another program classifies the extracted targets into real categories such as scallop, flounder, starfish, and sea grass. “They consider seafloor images to be a real challenge,” Gallager said. Gallager’s group collaborates with researchers at Los Alamos National Laboratory who are developing new ways to segment complicated images. Next, a computerized process called segmentation automatically extracts outlines of fish and shellfish from the jumbled background of sand, rock, and seaweed. When Vine is finished, the images are crisp and bright, as if they were taken from a glass-bottomed boat on a sunny day. Vine is a retired commercial fisherman, lifelong computer hacker, and son of Allyn Vine, the WHOI engineer for whom the deep-diving sub Alvin was named. “I’m trying to pull the plug and drain all the water out of the picture,” he said. So Norman Vine spends much of his time on image processing. Then the strips have to be corrected for the way light behaves under water.Īt first, even under the flash of the four strobes, images are murky and the colors are washed out. The individual photos, four to five of them taken per second, must be pieced together into continuous strips, or photomosaics. Now, instead of shoveling through dredge piles on deck, the HabCam team has to make sense of more than 300,000 images-up to 1,000 gigabytes of data-per day. Onboard, scientists and fishermen can watch the seafloor go by, 230 feet (70 meters) or more below, as a fiber-optic cable brings camera images back onboard. “It looks like the roll cage on a double-A fuel dragster,” said Richard Taylor, a retired commercial scallop fisherman and one of Gallager’s collaborators.Ī commercial scallop boat, the F/V Kathy Marie, tows the device at about 10 feet (3 meters) above the seafloor, traveling at 3 to 5 knots. Festooned on every corner with cushions of tire rubber, it’s rugged but hardly streamlined. WHOI scientist Scott Gallager and colleagues built a high-resolution camera and four very bright strobe lights-all housed in a 10-foot-long cage of bright-yellow welded pipe. ![]() HabCam improves on dredging by adding a 21st-century efficiency: It brings back photos of the seafloor instead of pieces of it. Last year’s catch was worth about $400 million, five times the 1998 catch, Hart said. Atlantic scallop fishery has become one of the biggest fisheries in the world and one of a few whose stocks are expanding. After shoveling through the catch, measuring the scallops, and estimating how many the dredge left behind, biologists such as Dvora Hart of the National Marine Fisheries Service (NMFS) decide on the year’s allowable catch. Fishery managers hope to use the invention to take sharp images of the seafloor and then automatically count and measure scallops on the bottom.Ĭontrast that with the current technique for monitoring scallop stocks: For 30 days each summer, a research vessel blindly drags an 8-foot-wide dredge across 500 miles (800 kilometers) of ocean bottom, one mile at a time. Called HabCam (short for “habitat mapping camera system”), the device was developed by scientists at Woods Hole Oceanographic Institution (WHOI) working with Cape Cod scallop fishermen. Now, a new undersea camera is bringing light to the pitch-black depths of New England’s scallop beds. But that mystery is a major annoyance when it comes to keeping track of fish populations. Part of the fun of fishing is never knowing exactly what might be swimming around beneath you.
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