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色盲测试图难倒正常人、骗过AI 专家解读检测真相_我的网站

文化大观园

一 |             最近,几张超高难度的色盲测试图在网上刷屏:有人明明视力正常却认不出图中数字,让AI来识别,AI也频频翻车。    

Zhuhai city in South China's Guangdong Province Photos: VCG
    Zhuhai city in South China's Guangdong Province Photos: VCG
Speaking to the Global Times, Mexican poet Manuel Becerra said that he felt it was a form of poetic justice that a delivery rider had recently won one of China's highest literary awards.  
Becerra is one of the seven writers from six APEC member economies currently taking part in the "2026 Global Writers in Guangdong Program" held in South China's Guangdong Province.
Organized by the Guangdong Provincial Writers' Association (GPWA), the program is one of the literary events held during the 2026 APEC "China Year," Xiang Xin, head of the GPWA, told the Global Times. 
The program represents a two way engagement through which Chinese and foreign writers implement the Global Civilization Initiative with literature as the bridge. It is also an innovation-driven journey focused on literary creation, exploring open-ended narratives and internationally inflected expressions to write stories about Guangdong Province and China in general, Xiang said.
As the heartland of Lingnan culture, the birthplace of the Maritime Silk Road, and a pioneer of China's reform and opening-up, Guangdong is a rich literary treasure trove with vast potential for exploration, development, and creative transformation, Xiang said. 
From Tangjiawan ancient town to the Hong Kong-Zhuhai-Macao Bridge, the international writers are on an immersive two-month tour that will take them to Guangdong's Shenzhen, Zhongshan, Jiangmen and Guangzhou to explore local Lingnan culture and draw inspiration for their literary creations. Lion dances, Guangzhou embroidery, Cantonese Opera, and Canton porcelain are some of the most representative Lingnan cultural symbols. 
Drawing on their experiences from the tour, the seven writers will produce original literary works centered on the province, contributing to people-to-people exchanges during the APEC China Year and offering the world a richer, more multifaceted portrait of the province, according to GPWA.
A lion dance is performed at Tangjiawan ancient town in Guangdong Province.
    A lion dance is performed at Tangjiawan ancient town in Guangdong Province.
Like finding gold
Kicking off their tour in Shenzhen, the writers were amazed to learn about the city's transformation from a small fishing village into a modern international metropolis in just four decades. They were impressed by both the skyscrapers and the numerous delivery riders moving up and down the streets. 
The delivery rider Becerra mentioned is 56-year-old Wang Jibing, who is known affectionately as the "delivery poet" from East China's Jiangsu Province. Wang won the 9th Lu Xun Literature Prize for his poetry collection Dichu Feixing (Low Flight) in July.
Becerra noted that immigrants from other provinces have been instrumental in shaping Shenzhen's unique identity. 
"Shenzhen is a city shaped by immigrants, and I believe that migration enriches a country's culture. It creates an invaluable exchange of knowledge and personal experiences. We can look at border literature and countries where these phenomena take place. The most interesting books often come from immigrant communities," he said. 
The Mexican poet said that walking through the streets of Shenzhen is like finding gold. "For writers, it is essential to remain attentive to 'certain signs' that emerge in ordinary life and to unexpected situations. As reality is filled with these 'certain signs,' it is necessary to cultivate an 'education of the gaze.'" 
Peruvian poet Gian Pierre Codarlupo struck a similar tone. 
"I hope to discover small stories, those of ordinary people, and to see the landscapes, to immerse myself in them. I'm interested in contemporary Chinese poetry, in addition to classical poetry. I would be delighted if this journey opened doors for future collaborations," Codarlupo told the Global Times. 
The writers got an artistic view of Lingnan culture through artworks by local painters Su Hua and Lin Yong at the He Xiangning Art Museum in Shenzhen. The two are an iconic artist couple in contemporary Lingnan painting.
Becerra said what caught his attention, beyond their obvious artistic skill, was a sense of uniqueness, something new.
"I write about everything I can observe, experience and feel. Now I'm living in a country unlike any I have known before - one that, in fact, remains little explored first-hand by many people from other countries. I have stood before streets, buildings, museums, everyday scenes and events that have moved me almost to tears. As the painter Lin Yong once said, 'Here, I have cried and I have laughed,'" said Becerra. 
Creative overflow
Peruvian poet Codarlupo said that his experience in Guangdong is already influencing his work and he wants to be a bridge between China and Latin America. 
"I have been writing poems about what I have been able to observe. So far, I have completed four articles on Lin Yong, Su Hua and the Lingnan culture. All the landscapes I have seen will appear in my work. I am overflowing with creative inspiration," he noted. 
Both writers expressed a desire to translate Chinese poetry, helping bring the voices of contemporary Chinese poets to Western readers.
"I hope that people from abroad can approach Lingnan culture through poetry and art, and that they will not see Shenzhen merely as a technological city, but go beyond that," said the Peruvian writer. 
Taking Mexican author Octavio Paz, who won the 1990 Nobel Prize in Literature, as an example, Becerra said that cultural exchange can inspire profound literary creation.
Thanks to his stay in India, Octavio Paz wrote one of the most fascinating Spanish works: The Monkey Grammarian. That was made possible through cultural exchange, he said. 
"What I have experienced has naturally had an impact on me as a poet. If something transforms an individual, there is also the possibility that it will, as a consequence, transform their society. I hope people can see Guangdong that I experienced, as if it were a film whose full appreciation requires the use of all five senses," Becerra said.
。不少人对着手机屏幕反复确认,开始怀疑自己“是不是隐性色盲”。       一张小小的圆点图,到底是怎么测出辨色能力的?为什么视力正常的人也会答错?驾照、职业体检的色觉标准又是什么?色盲图的“小心机”        测的不是视力,是辨色差        我们平时见到的、由彩色小圆点组成、藏着数字或图案的测试图,在医学上有个正式名字——假同色图。       首都医科大学附属北京同仁医院眼科副主任医师田磊介绍,这类图谱的设计逻辑,就是故意把图案和背景的明暗度拉到接近水平,只依靠细微的颜色差异区分信息。人眼视网膜上有三类视锥细胞,分别对不同波长的光敏感,构成了我们感知红、绿、蓝三色的生理基础。正常色觉者能捕捉到这些细微色差,把数字从背景里“分离”出来;而红绿色觉异常者分辨红绿差异的能力下降,图案就会和背景“融”在一起。色盲测试图难倒正常人、骗过AI 专家解读检测真相        这也是为什么很多人疑惑:我视力明明很好,怎么会答不对色盲图?田磊强调,假同色图检查有非常严格的前提:必须在标准光照、固定观看距离、规定时长内,使用合格的纸质原版图谱完成。

二 | 我们在网上看到的图,大多经过扫描、拍照、多次压缩,再经过不同亮度、色温的电子屏幕显示,颜色早就偏离了原始标准。再加上环境光反射的影响,原本的辨色题很容易变成“猜图形题”。       “标准色觉检查应该看一组图,而不是一张图;单张难图答错,不能诊断色盲。”田磊提醒,对着手机自测只能当娱乐,绝不能以此给自己下“色盲”的诊断。

三 |        针对“AI也认错色盲图”的热议,田磊解释,人眼和AI的识别逻辑本质完全不同:人眼是通过视锥细胞感知光波,再经视网膜和大脑的颜色对立加工形成色觉,是生理性的判断;而A没有视锥细胞,它读取的是一张张由像素构成的数字图像,依靠训练中学到的轮廓、纹理、形状来识别内容。

四 | 色盲图恰恰刻意弱化了形状信息,把答案藏在细微色差里。如果图像在传播中色差进一步损失,AI就只能靠轮廓“猜答案”,出错也就不奇怪了。色盲测试图难倒正常人、骗过AI 专家解读检测真相        AI识别错误说明的不是“AI色盲”,而是普通图像识别不能直接等同于医学色觉检查。田磊表示。色盲≠色弱        驾照和职业体检到底卡在哪?        比起“能不能认出图”,更多人关心的是:色觉异常会不会影响考驾照、找工作?田磊介绍,我国现行机动车驾驶证体检对辨色力的核心要求,是无红绿色盲。原因很直观:交通信号体系里,红、绿分别承担“停止”和“通行”的核心信息,直接关系道路安全。色盲测试图难倒正常人、骗过AI 专家解读检测真相        但公众普遍存在一个误区:觉得色弱和色盲完全一样,觉得“只要色弱就不能开车”。驾照体检关注的核心是红绿色盲,并不是“所有色弱都不能开车”。田磊明确表示,色弱和色盲处在同一个色觉异常谱系上,程度不同:色弱依然能分辨相关颜色,只是在颜色接近时分辨能力下降;色盲则是某一类颜色的识别能力存在明显缺陷。轻度色觉异常是否符合驾驶要求,需要由有资质的医疗机构按照规范判断。       除了驾驶,还有不少职业对色觉设置了门槛。田磊总结,凡是“颜色本身就是安全信息”的岗位,通常都会对色觉提出更高要求:        航空、航海、铁路交通类岗位:需要准确识别灯光、航标、铁路信号;        高风险工业岗位:依靠颜色判断仪表、线路、警示信号的操作岗;        专业辨色岗位:部分医学检验、化工、纺织、印刷、查验类岗位。

五 |        不是“色弱都不能做某些职业”,而是不同岗位对色觉要求不同,应看具体职业标准。

六 | 田磊提醒,不同岗位的限制程度不一,有的仅限制色盲,有的对色弱也有要求,以对应行业的正式体检标准为准。       只看图,不准        权威色觉检测究竟该怎么做        既然单张网图不准,那真正权威的色觉检测是什么样的?田磊表示,我们熟悉的俞自萍色盲图、石原色盲图这类假同色图,最大优势是快速、简便、成本低,非常适合大规模人群筛查,但它并不是唯一的检测手段,也不能直接作为最终诊断依据。

七 |        如果筛查结果存疑,眼科还有更精细的复核手段: 一类是色相排列试验,比如临床常用的Farnsworth D-15。

八 | 它不需要认数字,而是让受检者把一组不同色调的色块按颜色顺序排列,医生通过排列错误的方向,判断色觉混淆的类型和严重程度。       另一类更专业的设备是异常三色镜,它让受检者调整红光和绿光的比例,与标准颜色匹配,能对先天性红绿色觉异常进行精准的分型和程度判断。此外,航空等对色觉要求极高的行业,还会增加实际信号灯识别测试,更贴近真实工作场景。       “哪种方法最权威,要看检测目的。”田磊说,日常筛查用假同色图足够高效。如果结果有争议、需要明确诊断和分型,就要靠色相排列、异常三色镜这些更专业的方法。

九 | 色盲测试图难倒正常人、骗过AI 专家解读检测真相        最后田磊提醒,驾照体检等正式的色觉检测,一定要以有资质医疗机构的规范结果为准,不要仅凭网上一张图、一个手机App就自行下结论。如果对自测结果有疑问,前往正规医院眼科做专业复核即可。       一张刷屏的色盲图,照见的是大家对自身健康的关注,也暴露出不少认知误区。医学检测最讲究“标准”二字——从图谱版本、光照条件到操作流程,差一点,结果就可能差很多。不必因为一张网图就自我怀疑,也不必对色觉异常抱有过度焦虑。了解原理、认准正规检测、厘清标准边界,才是面对这件事最理性的态度。

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Published on:05:38:03


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