filter_wiener.m

这是采用Matlab编写的车牌识别程序,好不好下了就知

function varargout = filter_wiener(varargin)

if nargin == 0
	p1 = struct( ...
		'Name',					'Neighborhood size', ...
		'Style',				'integer', ...
		'DefaultValue',			3, ...
		'Max',					64, ...
		'Min',					2, ...
		'LargeStep',			8, ...
		'SmallStep',			1);
	p2 = struct( ...
		'Name',					'Noise power', ...
		'Style',				'single', ...
		'DefaultValue',			0.01, ...
		'Max',					0.1, ...
		'Min',					0.001, ...
		'LargeStep',			0.01, ...
		'SmallStep',			0.005);
	p3 = struct( ...
		'Name',					'Parameter_Check', ...
		'Style',				'check', ...
		'DefaultValue',			1);
	P = struct( ...
		'FilterName',			'Wiener de-noise', ...
		'Class',				'noise', ...
		'AvailableImageType',	[0 0 0 1 1], ...
		'ParameterNumber',		2, ...
		'Parameters', 			{ {p1, p2} });
	varargout{1} = P;
else
	CX = varargin{1};
	FUNPARA = varargin{2};
	if isrgb(CX)
		varargout{1} = cat(3, ...
			wiener2(CX(:, :, 1), [FUNPARA{1} FUNPARA{1}], FUNPARA{2} ), ...
			wiener2(CX(:, :, 2), [FUNPARA{1} FUNPARA{1}], FUNPARA{2} ), ...
			wiener2(CX(:, :, 3), [FUNPARA{1} FUNPARA{1}], FUNPARA{2} ) );
	else
		varargout{1} = wiener2(CX, [FUNPARA{1} FUNPARA{1}], FUNPARA{2} );
	end
end