示例#1
0
    def Execute2D(self, w):
        ##
        ## Input files /Output folder
        ##
        self.filestack = self.ObtainTarget()
        params = self.ObtainParamsBottomTable(self.obj_args, self.args)
        output_path = params['Output Folder']
        if len(output_path) == 0:
            print('Output folder unspecified.')
            return False
        # Unlock Folder
        m.UnlockFolder(self.parent.u_info, output_path)

        for filename in self.filestack:
            print(filename)
            output_name = os.path.basename(filename)
            # input_image = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)

            input_image = m.imread(filename, flags=cv2.IMREAD_GRAYSCALE)
            output_image = self.FilterApplication2D(w, input_image)
            savename = os.path.join(output_path, output_name)
            flag = m.SaveImage(output_image, savename)

        print('2D filters were applied!')
        # Change folder type
        self.parent.parent.ExecuteCloseFileFolder(output_path)
        self.parent.parent.OpenFolder(output_path)
示例#2
0
    def Execute3D(self, w):
        ##
        ## Load image
        ##
        filestack = self.ObtainTarget()
        params = self.ObtainParamsBottomTable(self.obj_args, self.args)
        output_path = params['Output Folder']
        if len(output_path) == 0:
            print('Output folder unspecified.')
            return False
        #
        numz = len(filestack)
        # size = cv2.imread(filestack[0], cv2.IMREAD_GRAYSCALE).shape
        check_attribute = m.imread(filestack[0], flags=cv2.IMREAD_GRAYSCALE)
        tsize = check_attribute.shape
        tdtype = check_attribute.dtype
        input_volume = np.zeros([tsize[0], tsize[1], numz], tdtype)

        print('Loading images ...')
        for zi, filename in enumerate(filestack):
            # input_volume[:, :, zi] = cv2.imread(filename, cv2.IMREAD_GRAYSCALE).astype(tdtype)
            input_volume[:, :, zi] = m.imread(filename,
                                              flags=cv2.IMREAD_GRAYSCALE)
        ##
        ## 2D/3D filter application
        ##
        for i in range(w.count()):
            item = w.item(i)
            text = item.text()
            instance = item.data(Qt.UserRole)
            params = self.ObtainParamsFilter(instance.args)
            type = self.fi.get_type(text)
            cls = self.fi.get_class(text)

            if type == '2d':
                for zi in range(numz):
                    input_image = input_volume[:, :, zi]
                    output_image = cls.Filter(self, input_image, params)
                    input_volume[:, :, zi] = output_image
            elif type == '3d':
                tmp = cls.Filter(self, input_volume, params)
                input_volume = tmp.astype(np.uint16)

        # Unlock Folder
        m.UnlockFolder(self.parent.u_info, output_path)
        # Save segmentation
        print('Saving images ...')
        for zi, filename in enumerate(filestack):
            output_name = os.path.basename(filename)
            savename = os.path.join(output_path, output_name)
            print("Save: ", savename)
            flag = m.SaveImage(input_volume[:, :, zi], savename)

        print('2D/3D filters were applied!')
        # Change folder type
        self.parent.parent.ExecuteCloseFileFolder(output_path)
        self.parent.parent.OpenFolder(output_path)