CIAreaHistogram给了我所有0除了最后一个元素？ [英] CIAreaHistogram gives me all 0 except the last element?
本文介绍了CIAreaHistogram给了我所有0除了最后一个元素？的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我想计算一个NSImage的直方图，所以我自然转向 CIFilter 。有一个过滤器 CIAreaHistogram 做我想要的。这是我的代码：
I want to calculate histogram of an NSImage, so I turned to CIFilter naturally. There's a filter named CIAreaHistogram does what I want. Here's my code:
NSBitmapImageRep *rep = [image bitmapImageRepresentation];
CIImage* hImage = nil;
@autoreleasepool {
CIImage *input = [[CIImage alloc] initWithBitmapImageRep:rep];
CIFilter *histogramFilter = [CIFilter filterWithName:@"CIAreaHistogram"];
[histogramFilter setDefaults];
[histogramFilter setValue:input forKey:kCIInputImageKey];
[histogramFilter setValue:[CIVector vectorWithCGRect:[input extent]] forKeyPath:@"inputExtent"];
[histogramFilter setValue:[NSNumber numberWithInt:256] forKeyPath:@"inputCount"];
[histogramFilter setValue:[NSNumber numberWithFloat:1.0] forKey:@"inputScale"];
hImage = [histogramFilter valueForKey:kCIOutputImageKey];
input = nil;
NSImage *result = nil;
@autoreleasepool
{
NSCIImageRep *rep = [NSCIImageRep imageRepWithCIImage:hImage];
result = [[NSImage alloc] initWithSize:rep.size];
[result addRepresentation:rep];
}
NSBitmapImageRep *imgRep = [result bitmapImageRepresentation];
for (int y = 0; y < imgRep.size.height; y ++) {
for (int x = 0; x < imgRep.size.width; x ++) {
NSUInteger pixel[4];
[imgRep getPixel:pixel atX:x y:y];
NSLog(@"(%d, %d): %lu - %lu - %lu - %lu", x, y, pixel[0], pixel[1], pixel[2], pixel[3]);
}
}
}
bitmapImageRepresentation 只是一个帮助方法，可将 NSImage 转换为 NSBitmapImageRep 。
The bitmapImageRepresentation is just a help method that converts NSImage to NSBitmapImageRep. I've tested and used a lot with it, seems it's cool.
输出如下：
(0, 0): 0 - 0 - 0 - 0
(1, 0): 0 - 0 - 0 - 0
(2, 0): 0 - 0 - 0 - 0
(3, 0): 0 - 0 - 0 - 0
(4, 0): 0 - 0 - 0 - 0
(5, 0): 0 - 0 - 0 - 0
(6, 0): 0 - 0 - 0 - 0
(7, 0): 0 - 0 - 0 - 0
(8, 0): 0 - 0 - 0 - 0
(9, 0): 0 - 0 - 0 - 0
(10, 0): 0 - 0 - 0 - 0
(11, 0): 0 - 0 - 0 - 0
(12, 0): 0 - 0 - 0 - 0
(13, 0): 0 - 0 - 0 - 0
(14, 0): 0 - 0 - 0 - 0
(15, 0): 0 - 0 - 0 - 0
(16, 0): 0 - 0 - 0 - 0
(17, 0): 0 - 0 - 0 - 0
(18, 0): 0 - 0 - 0 - 0
(19, 0): 0 - 0 - 0 - 0
(20, 0): 0 - 0 - 0 - 0
(21, 0): 0 - 0 - 0 - 0
(22, 0): 0 - 0 - 0 - 0
(23, 0): 0 - 0 - 0 - 0
(24, 0): 0 - 0 - 0 - 0
(25, 0): 0 - 0 - 0 - 0
(26, 0): 0 - 0 - 0 - 0
(27, 0): 0 - 0 - 0 - 0
(28, 0): 0 - 0 - 0 - 0
(29, 0): 0 - 0 - 0 - 0
(30, 0): 0 - 0 - 0 - 0
(31, 0): 0 - 0 - 0 - 0
(32, 0): 0 - 0 - 0 - 0
(33, 0): 0 - 0 - 0 - 0
(34, 0): 0 - 0 - 0 - 0
(35, 0): 0 - 0 - 0 - 0
(36, 0): 0 - 0 - 0 - 0
(37, 0): 0 - 0 - 0 - 0
(38, 0): 0 - 0 - 0 - 0
(39, 0): 0 - 0 - 0 - 0
(40, 0): 0 - 0 - 0 - 0
(41, 0): 0 - 0 - 0 - 0
(42, 0): 0 - 0 - 0 - 0
(43, 0): 0 - 0 - 0 - 0
(44, 0): 0 - 0 - 0 - 0
(45, 0): 0 - 0 - 0 - 0
(46, 0): 0 - 0 - 0 - 0
(47, 0): 0 - 0 - 0 - 0
(48, 0): 0 - 0 - 0 - 0
(49, 0): 0 - 0 - 0 - 0
(50, 0): 0 - 0 - 0 - 0
(51, 0): 0 - 0 - 0 - 0
(52, 0): 0 - 0 - 0 - 0
(53, 0): 0 - 0 - 0 - 0
(54, 0): 0 - 0 - 0 - 0
(55, 0): 0 - 0 - 0 - 0
(56, 0): 0 - 0 - 0 - 0
(57, 0): 0 - 0 - 0 - 0
(58, 0): 0 - 0 - 0 - 0
(59, 0): 0 - 0 - 0 - 0
(60, 0): 0 - 0 - 0 - 0
(61, 0): 0 - 0 - 0 - 0
(62, 0): 0 - 0 - 0 - 0
(63, 0): 0 - 0 - 0 - 0
(64, 0): 0 - 0 - 0 - 0
(65, 0): 0 - 0 - 0 - 0
(66, 0): 0 - 0 - 0 - 0
(67, 0): 0 - 0 - 0 - 0
(68, 0): 0 - 0 - 0 - 0
(69, 0): 0 - 0 - 0 - 0
(70, 0): 0 - 0 - 0 - 0
(71, 0): 0 - 0 - 0 - 0
(72, 0): 0 - 0 - 0 - 0
(73, 0): 0 - 0 - 0 - 0
(74, 0): 0 - 0 - 0 - 0
(75, 0): 0 - 0 - 0 - 0
(76, 0): 0 - 0 - 0 - 0
(77, 0): 0 - 0 - 0 - 0
(78, 0): 0 - 0 - 0 - 0
(79, 0): 0 - 0 - 0 - 0
(80, 0): 0 - 0 - 0 - 0
(81, 0): 0 - 0 - 0 - 0
(82, 0): 0 - 0 - 0 - 0
(83, 0): 0 - 0 - 0 - 0
(84, 0): 0 - 0 - 0 - 0
(85, 0): 0 - 0 - 0 - 0
(86, 0): 0 - 0 - 0 - 0
(87, 0): 0 - 0 - 0 - 0
(88, 0): 0 - 0 - 0 - 0
(89, 0): 0 - 0 - 0 - 0
(90, 0): 0 - 0 - 0 - 0
(91, 0): 0 - 0 - 0 - 0
(92, 0): 0 - 0 - 0 - 0
(93, 0): 0 - 0 - 0 - 0
(94, 0): 0 - 0 - 0 - 0
(95, 0): 0 - 0 - 0 - 0
(96, 0): 0 - 0 - 0 - 0
(97, 0): 0 - 0 - 0 - 0
(98, 0): 0 - 0 - 0 - 0
(99, 0): 0 - 0 - 0 - 0
(100, 0): 0 - 0 - 0 - 0
(101, 0): 0 - 0 - 0 - 0
(102, 0): 0 - 0 - 0 - 0
(103, 0): 0 - 0 - 0 - 0
(104, 0): 0 - 0 - 0 - 0
(105, 0): 0 - 0 - 0 - 0
(106, 0): 0 - 0 - 0 - 0
(107, 0): 0 - 0 - 0 - 0
(108, 0): 0 - 0 - 0 - 0
(109, 0): 0 - 0 - 0 - 0
(110, 0): 0 - 0 - 0 - 0
(111, 0): 0 - 0 - 0 - 0
(112, 0): 0 - 0 - 0 - 0
(113, 0): 0 - 0 - 0 - 0
(114, 0): 0 - 0 - 0 - 0
(115, 0): 0 - 0 - 0 - 0
(116, 0): 0 - 0 - 0 - 0
(117, 0): 0 - 0 - 0 - 0
(118, 0): 0 - 0 - 0 - 0
(119, 0): 0 - 0 - 0 - 0
(120, 0): 0 - 0 - 0 - 0
(121, 0): 0 - 0 - 0 - 0
(122, 0): 0 - 0 - 0 - 0
(123, 0): 0 - 0 - 0 - 0
(124, 0): 0 - 0 - 0 - 0
(125, 0): 0 - 0 - 0 - 0
(126, 0): 0 - 0 - 0 - 0
(127, 0): 0 - 0 - 0 - 0
(128, 0): 0 - 0 - 0 - 0
(129, 0): 0 - 0 - 0 - 0
(130, 0): 0 - 0 - 0 - 0
(131, 0): 0 - 0 - 0 - 0
(132, 0): 0 - 0 - 0 - 0
(133, 0): 0 - 0 - 0 - 0
(134, 0): 0 - 0 - 0 - 0
(135, 0): 0 - 0 - 0 - 0
(136, 0): 0 - 0 - 0 - 0
(137, 0): 0 - 0 - 0 - 0
(138, 0): 0 - 0 - 0 - 0
(139, 0): 0 - 0 - 0 - 0
(140, 0): 0 - 0 - 0 - 0
(141, 0): 0 - 0 - 0 - 0
(142, 0): 0 - 0 - 0 - 0
(143, 0): 0 - 0 - 0 - 0
(144, 0): 0 - 0 - 0 - 0
(145, 0): 0 - 0 - 0 - 0
(146, 0): 0 - 0 - 0 - 0
(147, 0): 0 - 0 - 0 - 0
(148, 0): 0 - 0 - 0 - 0
(149, 0): 0 - 0 - 0 - 0
(150, 0): 0 - 0 - 0 - 0
(151, 0): 0 - 0 - 0 - 0
(152, 0): 0 - 0 - 0 - 0
(153, 0): 0 - 0 - 0 - 0
(154, 0): 0 - 0 - 0 - 0
(155, 0): 0 - 0 - 0 - 0
(156, 0): 0 - 0 - 0 - 0
(157, 0): 0 - 0 - 0 - 0
(158, 0): 0 - 0 - 0 - 0
(159, 0): 0 - 0 - 0 - 0
(160, 0): 0 - 0 - 0 - 0
(161, 0): 0 - 0 - 0 - 0
(162, 0): 0 - 0 - 0 - 0
(163, 0): 0 - 0 - 0 - 0
(164, 0): 0 - 0 - 0 - 0
(165, 0): 0 - 0 - 0 - 0
(166, 0): 0 - 0 - 0 - 0
(167, 0): 0 - 0 - 0 - 0
(168, 0): 0 - 0 - 0 - 0
(169, 0): 0 - 0 - 0 - 0
(170, 0): 0 - 0 - 0 - 0
(171, 0): 0 - 0 - 0 - 0
(172, 0): 0 - 0 - 0 - 0
(173, 0): 0 - 0 - 0 - 0
(174, 0): 0 - 0 - 0 - 0
(175, 0): 0 - 0 - 0 - 0
(176, 0): 0 - 0 - 0 - 0
(177, 0): 0 - 0 - 0 - 0
(178, 0): 0 - 0 - 0 - 0
(179, 0): 0 - 0 - 0 - 0
(180, 0): 0 - 0 - 0 - 0
(181, 0): 0 - 0 - 0 - 0
(182, 0): 0 - 0 - 0 - 0
(183, 0): 0 - 0 - 0 - 0
(184, 0): 0 - 0 - 0 - 0
(185, 0): 0 - 0 - 0 - 0
(186, 0): 0 - 0 - 0 - 0
(187, 0): 0 - 0 - 0 - 0
(188, 0): 0 - 0 - 0 - 0
(189, 0): 0 - 0 - 0 - 0
(190, 0): 0 - 0 - 0 - 0
(191, 0): 0 - 0 - 0 - 0
(192, 0): 0 - 0 - 0 - 0
(193, 0): 0 - 0 - 0 - 0
(194, 0): 0 - 0 - 0 - 0
(195, 0): 0 - 0 - 0 - 0
(196, 0): 0 - 0 - 0 - 0
(197, 0): 0 - 0 - 0 - 0
(198, 0): 0 - 0 - 0 - 0
(199, 0): 0 - 0 - 0 - 0
(200, 0): 0 - 0 - 0 - 0
(201, 0): 0 - 0 - 0 - 0
(202, 0): 0 - 0 - 0 - 0
(203, 0): 0 - 0 - 0 - 0
(204, 0): 0 - 0 - 0 - 0
(205, 0): 0 - 0 - 0 - 0
(206, 0): 0 - 0 - 0 - 0
(207, 0): 0 - 0 - 0 - 0
(208, 0): 0 - 0 - 0 - 0
(209, 0): 0 - 0 - 0 - 0
(210, 0): 0 - 0 - 0 - 0
(211, 0): 0 - 0 - 0 - 0
(212, 0): 0 - 0 - 0 - 0
(213, 0): 0 - 0 - 0 - 0
(214, 0): 0 - 0 - 0 - 0
(215, 0): 0 - 0 - 0 - 0
(216, 0): 0 - 0 - 0 - 0
(217, 0): 0 - 0 - 0 - 0
(218, 0): 0 - 0 - 0 - 0
(219, 0): 0 - 0 - 0 - 0
(220, 0): 0 - 0 - 0 - 0
(221, 0): 0 - 0 - 0 - 0
(222, 0): 0 - 0 - 0 - 0
(223, 0): 0 - 0 - 0 - 0
(224, 0): 0 - 0 - 0 - 0
(225, 0): 0 - 0 - 0 - 0
(226, 0): 0 - 0 - 0 - 0
(227, 0): 0 - 0 - 0 - 0
(228, 0): 0 - 0 - 0 - 0
(229, 0): 0 - 0 - 0 - 0
(230, 0): 0 - 0 - 0 - 0
(231, 0): 0 - 0 - 0 - 0
(232, 0): 0 - 0 - 0 - 0
(233, 0): 0 - 0 - 0 - 0
(234, 0): 0 - 0 - 0 - 0
(235, 0): 0 - 0 - 0 - 0
(236, 0): 0 - 0 - 0 - 0
(237, 0): 0 - 0 - 0 - 0
(238, 0): 0 - 0 - 0 - 0
(239, 0): 0 - 0 - 0 - 0
(240, 0): 0 - 0 - 0 - 0
(241, 0): 0 - 0 - 0 - 0
(242, 0): 0 - 0 - 0 - 0
(243, 0): 0 - 0 - 0 - 0
(244, 0): 0 - 0 - 0 - 0
(245, 0): 0 - 0 - 0 - 0
(246, 0): 0 - 0 - 0 - 0
(247, 0): 0 - 0 - 0 - 0
(248, 0): 0 - 0 - 0 - 0
(249, 0): 0 - 0 - 0 - 0
(250, 0): 0 - 0 - 0 - 0
(251, 0): 0 - 0 - 0 - 0
(252, 0): 0 - 0 - 0 - 0
(253, 0): 0 - 0 - 0 - 0
(254, 0): 0 - 0 - 0 - 0
(255, 0): 0 - 0 - 0 - 255
code>为0，除了最后一个alpha值。
All of the buckets are 0 except the last alpha value. And I wonder if anyone has ever used this filter, and is kind enough to explain to me... Big thanks!
推荐答案
如果有人使用过滤器，我在这里写了一篇关于如何做到这一点的文章：
http：// shapeof.com/archives/2011/08/drawing_a_histogram_with_core_image.html
I've written a post on how to do this here: http://shapeof.com/archives/2011/08/drawing_a_histogram_with_core_image.html
缺点是：您需要将值读取为浮点值，而不是int，这意味着你必须连接一个CGBitmapContext到blit。或者，如果你把所有的东西都保存在CI land中，你需要一个过滤器来读取数据并打印出来。
The short of it is: you need to read the values as floats, not ints, which means you'll have to hook up a CGBitmapContext to blit to. Or if you keep everything in CI land, you'll need another filter to read the data and print something out with it.
这篇关于CIAreaHistogram给了我所有0除了最后一个元素？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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