filter_addnoise.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_addnoise(varargin)

if nargin == 0

	p1 = struct( ...
		'Name',					'Noise type', ...
		'Style',				'popup', ...
		'DefaultValue',			1, ...
		'Items',				{ {'Gaussian', 'Salt&Pepper', ...
					'Speckle'} } );
	p2 = struct( ...
		'Name',					'Noise strength', ...
		'Style',				'single', ...
		'DefaultValue',			0.1, ...
		'Max',					1, ...
		'Min',					0, ...
		'LargeStep',			1 / 10, ...
		'SmallStep',			1 / 100);
	p3 = struct( ...
		'Name',					'Monochome noise', ...
		'Style',				'check', ...
		'DefaultValue',			1);

	P = struct( ...
		'FilterName',			'Add noise', ...
		'AvailableImageType',	[0 0 0 1 1], ...
		'Class',				'noise', ...
		'ParameterNumber',		2, ...
		'Parameters', 			{ {p1, p2} });
	varargout{1} = P;
else
	CX = varargin{1};
	FUNPARA = varargin{2};
	if isrgb(CX)
		switch FUNPARA{1}
		case 1
			varargout{1} = cat(3, ...
					imnoise(CX(:, :, 1), 'gaussian', FUNPARA{2}), ...
					imnoise(CX(:, :, 2), 'gaussian', FUNPARA{2}), ...
					imnoise(CX(:, :, 3), 'gaussian', FUNPARA{2}) );
		case 2
			varargout{1} = cat(3, ...
					imnoise(CX(:, :, 1), 'salt & pepper', FUNPARA{2}), ...
					imnoise(CX(:, :, 2), 'salt & pepper', FUNPARA{2}), ...
					imnoise(CX(:, :, 3), 'salt & pepper', FUNPARA{2}) );
		case 3
			varargout{1} = cat(3, ...
					imnoise(CX(:, :, 1), 'speckle', FUNPARA{2}), ...
					imnoise(CX(:, :, 2), 'speckle', FUNPARA{2}), ...
					imnoise(CX(:, :, 3), 'speckle', FUNPARA{2}) );
		end
	else
		switch FUNPARA{1}
		case 1
			varargout{1} = imnoise(CX, 'gaussian', FUNPARA{2});
		case 2
			varargout{1} = imnoise(CX, 'salt & pepper', FUNPARA{2});
		case 3
			varargout{1} = imnoise(CX, 'speckle', FUNPARA{2});
		end
	end
end